Table of Contents

Installation

System Dynamics Modeling with se-lib – User's Guide

July 7, 2025

Table of Contents

1. Overview

2. Getting Started with SE-Lib

3. Modeling Guidance and Tips

4. Basic Modeling Patterns

4.1 Negative Feedback Loop

4.2 Exponential Growth

4.3 Balancing Loop

4.4 Goal-Gap Structure

4.5 First-Order Delay

4.6 Second-Order Delay

5. Displaying Output

6. Graphing Functions

Plotting to Screen

Saving to File

7. Random Number Functions

Example

8. Utility and Test Functions

9. Advanced Usage

9.1 Extending a Model Instance

9.1 PySD Integration

10. Visual Gallery of Model Structures

11. Appendix A - Function Reference

init_sd_model(start, stop, dt, stop_when=None)

add_stock(name, initial, inflows=[], outflows=[])

add_flow(name, equation)

add_auxiliary(name, equation)

add_auxiliary_lookup(name, input, xpoints, ypoints)

plot_graph(*outputs)

save_graph(*outputs, filename='graph.png')

draw_sd_model(filename=None, format='svg')

get_stop_time()

get_model_structure()

Examples

Exponential Growth

Negative Feedback

Goal Seeking Behavior

Rayleigh Curve Staffing

Random Functions and Measuring Stop Time

Predator Prey Model

Object Oriented Simulation Examples Using Classes

Monte Carlo Simulation and Output Analysis

Special Functions

Stop When Condition

If Then Else

Installation

Run the cell below once at the beginning of each session. The output can then be cleared. There is also a method to permanently install se-lib to eliminate this step.

!pip install se-lib

from selib import *

import numpy as np
import matplotlib.pyplot as plt
# set plot attributes
import matplotlib as mpl

mpl.rcParams['axes.spines.top'] = False
mpl.rcParams['axes.spines.right'] = False

System Dynamics Modeling with se-lib – User's Guide

July 7, 2025

Table of Contents

• 1. Overview
• 2. Getting Started with se-lib
• 3. Modeling Guidance and Tips
• 4. Basic Modeling Patterns
  • 4.1 Negative Feedback Loop
  • 4.2 Exponential Growth
  • 4.3 Balancing Loop
  • 4.4 Goal-Gap Structure
  • 4.5 First-Order Delay
  • 4.6 Second-Order Delay
• 5. Displaying Output
• 6. Graphing Functions
• 7. Random Number Functions
• 8. Utility and Test Functions
• 9. Advanced Usage
• 9.1 Extending a Model Instance
• 10. Visual Gallery of Model Structure
• 11. Appendix A - Function Reference

---

1. Overview

This manual provides an introduction and reference for modeling continuous systems using the se-lib Python package. se-lib supports the construction and simulation of system dynamics models using standard stock and flow structures using both procedural and object-oriented approaches. It adheres to the XMILE standard for system dynamics models and integrates with PySD for simulation execution. Models are compatible with Vensim and iThink/Stella tools using XMILE and MDL formats for importing and exporting.

The object-oriented interface is built around the SystemDynamicsModel class, enabling encapsulation of models, concurrent instantiation, and extensions of the model class. Users may also use the original procedural API for quick prototyping or compatibility with existing scripts. The procedural approach provides a more implicit modeling, but can be less flexible.

The manual includes reusable modeling templates, core system dynamics patterns such as goal-gap control and balancing loops, recommended modeling practices, detailed API documentation, and visual representations of feedback logic. It is suitable for a wide range of applications in systems thinking, behavioral simulation, engineering analysis, and education.

Detailed function references and more examples are available online at http://selib.org/function_reference.html#system-dynamics.

---

2. Getting Started with SE-Lib

To install the latest version of se-lib, use pip:

pip install se-lib

A system model is described by defining the standard elements for stocks (levels), flows (rates), and auxiliary constants or equations. Utility functions are available for equation formulation, data collection and displaying output.

Model construction begins by importing se-lib and initializing a model with the required time parameters. Simulations operate over a user-defined time horizon and return data as pandas DataFrames, which can be used for analysis and visualization.

from selib import *
init_sd_model(start=0, stop=30, dt=1)

Refer to Section 11 for a complete description of the modeling API.

---

3. Modeling Guidance and Tips

Modeling with se-lib requires attention to syntax, naming conventions, and logical structure. Names of model elements are specified as character strings and should not contain spaces; underscores (_) must be used to separate terms (e.g., Production_Rate). Variable names are case-sensitive and must exactly match those used in equations.

Equations are expressed as strings using standard arithmetic operators. Variables referenced in equations must already be defined within the model scope. The simulator does not check equations at entry time, so errors from undefined variables or misspellings will only become apparent at runtime.

Conditional statements can be expressed with logical constructs or, and, and not or the XMILE uppercase standards OR, AND, and NOT. The if_then_else(condition, value if true, value if false) or uppercase IF_THEN_ELSE(condition, value if true, value if false) are available.

Random number functions such as random() and random.uniform(a, b) are supported and internally translated into XMILE-compliant expressions. These generate new values at each timestep and are useful for modeling uncertainty or variability in external influences.

Time in se-lib is dimensionless. Modelers must maintain consistency in time unit interpretation (e.g., using all variables in units of days, months, etc.). Inconsistent use of time units can lead to misleading or invalid results.

The draw_model() function is recommended for verifying model structure prior to simulation. This visual representation helps ensure the correctness of stock-flow relationships and the presence of intended feedback loops.

---

4. Basic Modeling Patterns

4.1 Negative Feedback Loop

This classic balancing structure adjusts a level toward a target over time. It works by calculating the gap between a goal and the current level, then feeding a corrective flow in the direction that reduces this gap. The delay serves as a time constant, governing the speed of the system's response. Over time, the level asymptotically approaches the goal value.

# negative feedback
init_sd_model(start=0, stop=5, dt=.1)
add_stock("level", 50, inflows=["rate"])
add_auxiliary("delay", .5)
add_auxiliary("goal", 100)
add_flow("rate", "(goal - level) / delay")

draw_model()
run_model()
plot_graph("level")

4.2 Exponential Growth

This reinforcing loop demonstrates positive feedback. The flow increases as the stock increases, which in turn further amplifies the flow. This results in exponential behavior and is frequently seen in unchecked population growth, viral spread, or compound interest.

init_sd_model(start=0, stop=10, dt=.5)
add_stock("level", 100, inflows=["rate"])
add_auxiliary("growth_fraction", .8)
add_flow("rate", "growth_fraction * level")

draw_model()
run_model()
plot_graph('level')

4.3 Balancing Loop

A balancing loop with inventory control adjusts production to maintain a desired stock level. When inventory falls below target, production increases; when it's above target, production slows. This loop exhibits goal-seeking behavior and helps stabilize system performance. External demand acts as an opposing outflow.

init_sd_model(0, 10, 1)
add_stock("Inventory", 50, inflows=["Production_Rate"], outflows=["Demand_Rate"])
add_auxiliary("Target_Inventory", 100)
add_auxiliary("Adj_Time", 4)
add_flow("Production_Rate", "(Target_Inventory - Inventory) / Adj_Time")
add_auxiliary("Demand", 10)
add_flow("Demand_Rate", "Demand")

draw_model()
run_model()
plot_graph(["Inventory", "Production_Rate"])

4.4 Goal-Gap Structure

This control structure reduces the deviation between a system’s state and a set point. A feedback signal (difference between goal and current value) is amplified by a gain factor and used to drive the stock toward the goal.

init_sd_model(0, 30, 1)
add_stock("Temperature", 20, inflows=["Heating"])
add_auxiliary("Set_Point", 22)
add_auxiliary("Gain", 1.5)
add_flow("Heating", "(Set_Point - Temperature) * Gain")

draw_model()
run_model()
plot_graph(["Temperature", "Set_Point"])

4.5 First-Order Delay

First-order delays represent lagged responses where a stock adjusts toward an input with exponential smoothing. The greater the delay time, the slower the convergence.

init_sd_model(0, 15, 1)
add_stock("Output", 0, inflows=["Flow"])
add_auxiliary("Input", 100)
add_auxiliary("Delay_Time", 5)
add_flow("Flow", "(Input - Output) / Delay_Time")

draw_model()
run_model()
plot_graph(["Input", "Output"])

4.6 Second-Order Delay

A second-order delay structure creates smoother responses by cascading two first-order delays. This is useful when modeling systems with inertia or buffer stages such as material transport, bureaucratic processes, or cognitive recognition lags.

from selib import *

init_sd_model(0, 30, 1)
add_stock("Stage1", 0, inflows=["Flow1"], outflows=["Flow2"])
add_stock("Stage2", 0, inflows=["Flow2"])
add_auxiliary("Input", 100)
add_auxiliary("DelayTime", 5)
add_flow("Flow1", "(Input - Stage1) / DelayTime")
add_flow("Flow2", "(Stage1 - Stage2) / DelayTime")

draw_model()
run_model()
plot_graph(["Stage1", "Stage2"])

...

---

5. Displaying Output

Upon execution of a system dynamics model, se-lib returns simulation results as a pandas.DataFrame object. This output contains the time-indexed values of all defined stocks, flows, and auxiliaries. The DataFrame facilitates further analysis, visualization, or export to external tools. The ```run_model()`` function will execute a simulation and display a Pandas dataframe of the output. To execute a model and capture its output:

results = run_model()

Each column in the DataFrame corresponds to a model variable, and each row represents a timestep, as defined by the start, stop, and dt parameters provided during model initialization.

To inspect specific variables or values at particular timesteps, standard pandas indexing may be used:

results['Population']               # Full time series for Population
results['Births'][10]              # Value of Births at the 10th timestep
results[['Population', 'Births']] # Multiple variables

This structured output enables direct integration with plotting functions, statistical analysis routines, or export mechanisms. All graphing and saving operations described in Section 6 operate directly on this result structure.

---

6. Graphing Functions

se-lib provides built-in graphing capabilities to visualize model outputs directly from the simulation results. These graphs are generated using the matplotlib library and support both single-variable and multi-variable plots.

Plotting to Screen

The plot_graph() function displays simulation results interactively. It supports multiple input formats: single variable names, separate arguments, or a list of variables.

plot_graph("Population")
plot_graph("Births", "Deaths")
plot_graph(["Population", "Births", "Deaths"])

When a list is used, variables are plotted together on a shared axis. When passed as separate arguments, they are displayed on individual subplots.

Saving to File

The save_graph() function saves output graphs to image files. The default format is PNG, and the format may be changed by modifying the filename extension.

save_graph("Population", filename="population_plot.png")
save_graph(["Births", "Deaths"], filename="flow_graph.svg")

Saved graphs are rendered as separate figures and written to disk, which is useful for reporting or presentation workflows. As with plotting, graphing functions operate on the output returned by run_model().

---

7. Random Number Functions

se-lib supports stochastic modeling using random number generation within auxiliary and flow equations. This allows the representation of uncertainty, noise, or nondeterministic behavior in the modeled system. In equations for auxiliaries and rates, the random number functions supported are called as if the following import has occurred: from random import random, random.uniform.

The random functions supported are:

• random(): returns a new float uniformly distributed between 0 and 1 at each timestep.
• random.uniform(min, max): returns a new float uniformly distributed between min and max at each timestep.

These functions are automatically translated to XMILE-compatible expressions when the model is compiled for simulation. For xmile format compatibility, the functions RANDOM_0_1 and RANDOM_UNIFORM(min, max) are equivalent and also acceptable.

Example

The following example defines an auxiliary variable using random noise:

init_sd_model(start=0, stop=3, dt=.5)
add_auxiliary("random_parameter", "20*random()")
run_model()

( INITIAL TIME FINAL TIME TIME STEP SAVEPER random_parameter
0.0 0 3 0.5 0.5 0.087466
0.5 0 3 0.5 0.5 11.174929
1.0 0 3 0.5 0.5 13.506344
1.5 0 3 0.5 0.5 4.342211
2.0 0 3 0.5 0.5 5.449781
2.5 0 3 0.5 0.5 7.323554
3.0 0 3 0.5 0.5 17.220789,

Each timestep generates a new random value for Stochastic_Input, producing a non-repeating time series. It is important to note that random values are recomputed each time the model is run, and results may vary unless reproducibility measures (e.g., seeding) are implemented outside SE-Lib.

---

8. Utility and Test Functions

Standard test functions are available for pulse, ramp and step inputs as shown below. The full set of functions available in PySD can be used but have not all been tested.

init_sd_model(0, 10, 1)
add_stock("Level", 0, inflows=["Pulse", "Ramp"])
add_flow("Pulse", "pulse(100, 2)")
add_flow("Ramp", "ramp(3, 5)")
run_model()
plot_graph("Pulse", "Ramp", "Level")

---

9. Advanced Usage

9.1 Extending a Model Instance

Create a new class that extends a population model by adding carrying capacity with the following.

class PopulationWithCapacityModel(SystemDynamicsModel):
    def __init__(self, start, stop, dt, initial_population, carrying_capacity):
        super().__init__(start, stop, dt)
        self.add_stock("Population", initial=initial_population, inflows=["Births"], outflows=["Deaths"])
        self.add_auxiliary("BirthRate", equation=0.02)
        self.add_auxiliary("CarryingCapacity", equation=carrying_capacity)
        self.add_auxiliary("CrowdingEffect", equation="Population / CarryingCapacity")
        self.add_auxiliary("EffectiveGrowthRate", equation="BirthRate * (1 - CrowdingEffect)")
        self.add_flow("Births", equation="Population * EffectiveGrowthRate")
        self.add_auxiliary("DeathRate", equation=0.01)
        self.add_flow("Deaths", equation="Population * DeathRate") # Keep a simple death rate

# Create an instance of the extended model
population_capacity_model = PopulationWithCapacityModel(start=0, stop=200, dt=1, initial_population=50, carrying_capacity=500)

9.1 PySD Integration

SE-Lib is fully compatible with PySD. Any PySD function or supported XMILE structure may be used where appropriate. See PySD Docs for advanced formulations.

---

10. Visual Gallery of Model Structures

Here are illustrative stock-flow diagrams created with draw_model_diagram().

Negative Feedback Loop

  Goal →(+)→ Rate →(+)→ Level
                  ↑       ↓
              (-)←--------

Exponential Growth

    Growth_Factor
           ↓
    Stock (x) → Flow (dx) → x

Goal-Gap Regulation

  Set_Point → Error → Actuator → Stock
      ↑                         ↓
     -----------------------------

To render actual diagrams, use:

draw_model_diagram("model_diagram")

See section 2 for code to generate these models.

---

11. Appendix A - Function Reference

The following functions and methods define the modeling API for se-lib. All functions can be used in either procedural or object-oriented workflows.

init_sd_model(start, stop, dt, stop_when=None)

Initializes a new system dynamics model over the specified simulation time frame.

Args:

• start (float): Start time of the simulation.
• stop (float): End time of the simulation.
• dt (float): Time step for numerical integration.
• stop_when (float): Logical condition using model variables to stop the simulation.

Returns:

• SystemDynamicsModel instance

Example:

init_sd_model(start=0, stop=50, dt=1.0)

Examples with stop_when:

init_sd_model(start=0, stop=50, dt=1.0, stop_when("stock1 >= 100")

init_sd_model(start=0, stop=50, dt=1.0, stop_when("stock1 >= 100 or stock2 >=80")

---

add_stock(name, initial, inflows=[], outflows=[])

Adds a stock variable (level) to the system dynamics model.

Args:

• name (str): Name of the stock.
• initial (float): Initial value of the stock.
• inflows (list, optional): Names of inflow variables affecting this stock.
• outflows (list, optional): Names of outflow variables affecting this stock.

Returns:

• None

Example:

add_stock("Population", initial=100, inflows=["Births"], outflows=["Deaths"])

---

add_flow(name, equation)

Defines a flow (rate of change) for use in stock updates.

Args:

• name (str): Name of the flow.
• equation (str): Equation as a string to compute the flow value.

Returns:

• None

Example:

add_flow("Births", "Birth_Rate * Population")

---

add_auxiliary(name, equation)

Defines an auxiliary variable or constant used in the model.

Args:

• name (str): Name of the auxiliary variable.
• equation (str): String representation of the equation or constant value.

Returns:

• None

Example:

add_auxiliary("Birth_Rate", "0.02")

---

add_auxiliary_lookup(name, input, xpoints, ypoints)

Creates a lookup function for a nonlinear relationship.

Args:

• name (str): Name of the auxiliary variable.
• input (str): Name of the input variable used in the lookup.
• xpoints (list): List of input values (x-axis).
• ypoints (list): List of output values (y-axis).

Returns:

• None

Example:

add_auxiliary_lookup("Saturation", "Population", [0, 1000, 2000], [1, 0.5, 0.1])

---

plot_graph(*outputs)

Plots model results using matplotlib.

Args:

• *outputs (str or list): Names of variables to plot (e.g., "Population", ["Births", "Deaths"]).

Returns:

• None

Example:

plot_graph("Population")
plot_graph(["Births", "Deaths"])

---

save_graph(*outputs, filename='graph.png')

Saves a plot of the simulation

draw_sd_model(filename=None, format='svg')

Generates and renders a visual system dynamics model diagram using Graphviz.

get_stop_time()

Returns the logical end time based on a stop_when condition.

get_model_structure()

Returns a dictionary of model components (stocks, flows, auxiliaries).

Examples

Exponential Growth

from selib import *

# exponential_growth
init_sd_model(start=0, stop=10, dt=.5)
add_stock("level", 100, inflows=["rate"])
add_auxiliary("growth_fraction", .8)
add_flow("rate", "growth_fraction * level")

draw_model()
run_model()

save_graph('level', filename="exponential_growth.png")

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	growth_fraction	rate	level
time
0.0	0	10	0.5	0.5	0.8	80.000000	100.000000
0.5	0	10	0.5	0.5	0.8	112.000000	140.000000
1.0	0	10	0.5	0.5	0.8	156.800000	196.000000
1.5	0	10	0.5	0.5	0.8	219.520000	274.400000
2.0	0	10	0.5	0.5	0.8	307.328000	384.160000
2.5	0	10	0.5	0.5	0.8	430.259200	537.824000
3.0	0	10	0.5	0.5	0.8	602.362880	752.953600
3.5	0	10	0.5	0.5	0.8	843.308032	1054.135040
4.0	0	10	0.5	0.5	0.8	1180.631245	1475.789056
4.5	0	10	0.5	0.5	0.8	1652.883743	2066.104678
5.0	0	10	0.5	0.5	0.8	2314.037240	2892.546550
5.5	0	10	0.5	0.5	0.8	3239.652136	4049.565170
6.0	0	10	0.5	0.5	0.8	4535.512990	5669.391238
6.5	0	10	0.5	0.5	0.8	6349.718186	7937.147733
7.0	0	10	0.5	0.5	0.8	8889.605460	11112.006826
7.5	0	10	0.5	0.5	0.8	12445.447645	15556.809556
8.0	0	10	0.5	0.5	0.8	17423.626702	21779.533378
8.5	0	10	0.5	0.5	0.8	24393.077383	30491.346729
9.0	0	10	0.5	0.5	0.8	34150.308337	42687.885421
9.5	0	10	0.5	0.5	0.8	47810.431672	59763.039589
10.0	0	10	0.5	0.5	0.8	66934.604340	83668.255425

Negative Feedback

# negative feedback
init_sd_model(start=0, stop=10, dt=.1)
add_stock("level", 50, inflows=["rate"])
add_auxiliary("delay", .5)
add_auxiliary("goal", 100)
add_flow("rate", "(goal - level) / delay")

draw_model()
run_model()

save_graph(['level', 'goal', 'rate'], filename="negative_feedback.svg")

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	delay	goal	rate	level
time
0.0	0	10	0.1	0.1	0.5	100	1.000000e+02	50.00
0.1	0	10	0.1	0.1	0.5	100	8.000000e+01	60.00
0.2	0	10	0.1	0.1	0.5	100	6.400000e+01	68.00
0.3	0	10	0.1	0.1	0.5	100	5.120000e+01	74.40
0.4	0	10	0.1	0.1	0.5	100	4.096000e+01	79.52
...	...	...	...	...	...	...	...	...
9.6	0	10	0.1	0.1	0.5	100	4.973231e-08	100.00
9.7	0	10	0.1	0.1	0.5	100	3.978585e-08	100.00
9.8	0	10	0.1	0.1	0.5	100	3.182868e-08	100.00
9.9	0	10	0.1	0.1	0.5	100	2.546295e-08	100.00
10.0	0	10	0.1	0.1	0.5	100	2.037035e-08	100.00

101 rows × 8 columns

Goal Seeking Behavior

# goal seeking behavior with negative feedback

init_sd_model(start=0, stop=10, dt=.1)
add_stock("level", 50, inflows=["rate"])
add_auxiliary("time_constant", .5)
add_auxiliary("goal", 200)
add_flow("rate", "(goal - level) / time_constant")

draw_model()
run_model()

plot_graph(['goal', 'level'])

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	time_constant	goal	rate	level
time
0.0	0	10	0.1	0.1	0.5	200	3.000000e+02	50.00
0.1	0	10	0.1	0.1	0.5	200	2.400000e+02	80.00
0.2	0	10	0.1	0.1	0.5	200	1.920000e+02	104.00
0.3	0	10	0.1	0.1	0.5	200	1.536000e+02	123.20
0.4	0	10	0.1	0.1	0.5	200	1.228800e+02	138.56
...	...	...	...	...	...	...	...	...
9.6	0	10	0.1	0.1	0.5	200	1.491970e-07	200.00
9.7	0	10	0.1	0.1	0.5	200	1.193576e-07	200.00
9.8	0	10	0.1	0.1	0.5	200	9.548609e-08	200.00
9.9	0	10	0.1	0.1	0.5	200	7.638886e-08	200.00
10.0	0	10	0.1	0.1	0.5	200	6.111111e-08	200.00

101 rows × 8 columns

Rayleigh Curve Staffing

# Rayleigh Curve Staffing
init_sd_model(start=0, stop=6, dt=.2)
add_stock("cumulative_effort", 0, inflows=["effort rate"])
add_flow("effort rate",
         "learning_function * (estimated_total_effort - cumulative_effort)")
add_auxiliary("learning_function", "manpower_buildup_parameter * time")
add_auxiliary("manpower_buildup_parameter", .5)
add_auxiliary("estimated_total_effort", 30)

draw_model()
run_model()

save_graph("effort rate", filename="rayleigh_curve_effort_rate.png")
save_graph(["effort rate", "cumulative_effort"],
           filename="rayleigh_curve_components.png")

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.0	0.5	30	0.000000	0.000000
0.2	0	6	0.2	0.2	0.1	0.5	30	3.000000	0.000000
0.4	0	6	0.2	0.2	0.2	0.5	30	5.880000	0.600000
0.6	0	6	0.2	0.2	0.3	0.5	30	8.467200	1.776000
0.8	0	6	0.2	0.2	0.4	0.5	30	10.612224	3.469440
1.0	0	6	0.2	0.2	0.5	0.5	30	12.204058	5.591885
1.2	0	6	0.2	0.2	0.6	0.5	30	13.180382	8.032696
1.4	0	6	0.2	0.2	0.7	0.5	30	13.531859	10.668773
1.6	0	6	0.2	0.2	0.8	0.5	30	13.299884	13.375145
1.8	0	6	0.2	0.2	0.9	0.5	30	12.568391	16.035121
2.0	0	6	0.2	0.2	1.0	0.5	30	11.451200	18.548800
2.2	0	6	0.2	0.2	1.1	0.5	30	10.077056	20.839040
2.4	0	6	0.2	0.2	1.2	0.5	30	8.574659	22.854451
2.6	0	6	0.2	0.2	1.3	0.5	30	7.059802	24.569383
2.8	0	6	0.2	0.2	1.4	0.5	30	5.626120	25.981343
3.0	0	6	0.2	0.2	1.5	0.5	30	4.340149	27.106567
3.2	0	6	0.2	0.2	1.6	0.5	30	3.240645	27.974597
3.4	0	6	0.2	0.2	1.7	0.5	30	2.341366	28.622726
3.6	0	6	0.2	0.2	1.8	0.5	30	1.636202	29.090999
3.8	0	6	0.2	0.2	1.9	0.5	30	1.105345	29.418239
4.0	0	6	0.2	0.2	2.0	0.5	30	0.721383	29.639308
4.2	0	6	0.2	0.2	2.1	0.5	30	0.454471	29.783585
4.4	0	6	0.2	0.2	2.2	0.5	30	0.276145	29.874479
4.6	0	6	0.2	0.2	2.3	0.5	30	0.161671	29.929708
4.8	0	6	0.2	0.2	2.4	0.5	30	0.091098	29.962043
5.0	0	6	0.2	0.2	2.5	0.5	30	0.049345	29.980262
5.2	0	6	0.2	0.2	2.6	0.5	30	0.025659	29.990131
5.4	0	6	0.2	0.2	2.7	0.5	30	0.012790	29.995263
5.6	0	6	0.2	0.2	2.8	0.5	30	0.006101	29.997821
5.8	0	6	0.2	0.2	2.9	0.5	30	0.002780	29.999041
6.0	0	6	0.2	0.2	3.0	0.5	30	0.001208	29.999597

Random Functions and Measuring Stop Time

This example illustrates measuring elapsed simulation time using the stop_when initialization parameter and get_stop_time() function. It captures the project end when staffing effort rate goes to zero.

init_sd_model(start=0, stop=6, dt=.2, stop_when="effort_rate <= 0")
add_stock("cumulative_effort", 0, inflows=["effort rate"])
add_flow("effort_rate",
    "learning_function * (estimated_total_effort - cumulative_effort)")
add_auxiliary("learning_function", "manpower_buildup_parameter * time")
add_auxiliary("manpower_buildup_parameter", 'random.uniform(.2, .7)')
add_auxiliary("estimated_total_effort", 'random.uniform(25, 35)')

run_model()

print(f"Project end time is {get_stop_time()}")

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.346611	26.314763	0.000000	0.000000
0.2	0	6	0.2	0.2	0.050892	0.254459	28.421774	1.446435	0.000000
0.4	0	6	0.2	0.2	0.246634	0.616586	33.570912	8.208388	0.289287
0.6	0	6	0.2	0.2	0.167946	0.279911	25.798707	4.008501	1.930965
0.8	0	6	0.2	0.2	0.215839	0.269799	30.357161	5.962447	2.732665
1.0	0	6	0.2	0.2	0.604840	0.604840	25.751108	13.201206	3.925154
1.2	0	6	0.2	0.2	0.462944	0.385787	31.077756	11.347849	6.565395
1.4	0	6	0.2	0.2	0.502678	0.359056	31.409768	11.347856	8.834965
1.6	0	6	0.2	0.2	1.013357	0.633348	33.811694	23.010455	11.104536
1.8	0	6	0.2	0.2	1.091475	0.606375	30.882142	16.563693	15.706627
2.0	0	6	0.2	0.2	0.553483	0.276742	34.260847	8.435904	19.019366
2.2	0	6	0.2	0.2	0.586425	0.266557	33.449103	7.472556	20.706547
2.4	0	6	0.2	0.2	1.604125	0.668386	28.690347	10.409634	22.201058
2.6	0	6	0.2	0.2	0.860524	0.330971	33.421196	7.863647	24.282985
2.8	0	6	0.2	0.2	1.120255	0.400091	27.564369	1.914130	25.855714
3.0	0	6	0.2	0.2	1.039434	0.346478	28.787304	2.649271	26.238540
3.2	0	6	0.2	0.2	1.156291	0.361341	32.314591	6.413019	26.768394
3.4	0	6	0.2	0.2	0.867990	0.255291	32.690276	4.026848	28.050998
3.6	0	6	0.2	0.2	2.511096	0.697527	27.291088	-3.930569	28.856368

Project end time is 3.6

Predator Prey Model

Object Oriented Simulation Examples Using Classes

# @title capability development model

# Initialize SystemDynamicsModel model instance
model = SystemDynamicsModel(start=0, stop=25, dt=0.1, stop_when="developed_capabilities >= 100")

model.add_stock(name="capabilities_to_do", initial=100, outflows=["development_rate"])
model.add_stock(name="developed_capabilities", initial=0, inflows=["development_rate"])
model.add_flow(name="development_rate", equation="IF capabilities_to_do > 0 THEN 10 ELSE 0")

# Draw the model diagram
model.draw_model()

# Run the model simulation
results = model.run_model()

# Plot the 'developed_capabilities'
model.plot_graph('developed_capabilities')

# Print the stop time
stop_time = model.get_stop_time()
print(f'stop time = {stop_time}')

Simulation ends at time = 10.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	development_rate	capabilities_to_do	developed_capabilities
time
0.0	0	25	0.1	0.1	10	100.0	0.0
0.1	0	25	0.1	0.1	10	99.0	1.0
0.2	0	25	0.1	0.1	10	98.0	2.0
0.3	0	25	0.1	0.1	10	97.0	3.0
0.4	0	25	0.1	0.1	10	96.0	4.0
...	...	...	...	...	...	...	...
9.6	0	25	0.1	0.1	10	4.0	96.0
9.7	0	25	0.1	0.1	10	3.0	97.0
9.8	0	25	0.1	0.1	10	2.0	98.0
9.9	0	25	0.1	0.1	10	1.0	99.0
10.0	0	25	0.1	0.1	0	0.0	100.0

101 rows × 7 columns

stop time = 10.0

Monte Carlo Simulation and Output Analysis

# Monte Carlo simulation for Rayleigh Curve Staffing and end time output analysis
number_runs = 100

# vary manpower_buildup_parameter and estimated_total_effort in model definition

end_times = []  # initialize output data list

for run in range(number_runs):
    init_sd_model(start=0, stop=6, dt=.2, stop_when="effort_rate <=0")
    add_stock("cumulative_effort", 0, inflows=["effort rate"])
    add_flow(
        "effort_rate",
        "learning_function * (estimated_total_effort - cumulative_effort)")
    add_auxiliary("learning_function", "manpower_buildup_parameter * time")
    add_auxiliary("manpower_buildup_parameter", 'random.uniform(.2, .7)')
    add_auxiliary("estimated_total_effort", f'random.uniform(25, 35)')

    run_model()
    end_times.append(get_stop_time())

print(f'End Time Mean for {number_runs} runs = ', np.mean(end_times))

# PDF histogram with Matplotlib
fig, axis = plt.subplots()
axis.hist(end_times)
axis.set(title=f'End Times PDF', xlabel='End Time', ylabel='Frequency')
plt.savefig(f"end_times_PDF")

# CDF with NumPy and Matplotlib
fig, axis = plt.subplots()
# Use the histogram function to bin the data
histogram_bin_counts, bin_edges = np.histogram (end_times, density=True)
cdf = np.cumsum (histogram_bin_counts)
axis.plot (bin_edges[1:], cdf/cdf[-1])
axis.set(title=f'End Times CDF', xlabel='End Time', ylabel='Cumulative Probability')
plt.savefig(f"end_times_CDF")

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.335826	34.274352	0.000000	0.000000
0.2	0	6	0.2	0.2	0.040523	0.202617	29.293651	1.187077	0.000000
0.4	0	6	0.2	0.2	0.274041	0.685103	33.871344	9.217085	0.237415
0.6	0	6	0.2	0.2	0.368687	0.614478	25.279609	8.553077	2.080832
0.8	0	6	0.2	0.2	0.248063	0.310079	28.804657	6.204855	3.791448
1.0	0	6	0.2	0.2	0.340397	0.340397	34.236330	9.940922	5.032419
1.2	0	6	0.2	0.2	0.789929	0.658274	28.003183	16.574752	7.020603
1.4	0	6	0.2	0.2	0.852264	0.608760	27.532692	14.656493	10.335554
1.6	0	6	0.2	0.2	1.112587	0.695367	26.418448	14.632291	13.266852
1.8	0	6	0.2	0.2	0.441537	0.245298	28.909764	5.614779	16.193311
2.0	0	6	0.2	0.2	0.494243	0.247121	29.654121	6.097895	17.316266
2.2	0	6	0.2	0.2	1.534880	0.697673	25.545179	10.758487	18.535845
2.4	0	6	0.2	0.2	0.576502	0.240209	31.213730	6.068364	20.687543
2.6	0	6	0.2	0.2	0.914119	0.351584	25.414419	3.211487	21.901216
2.8	0	6	0.2	0.2	1.362555	0.486627	28.277173	7.812425	22.543513
3.0	0	6	0.2	0.2	1.284127	0.428042	30.685176	8.448500	24.105998
3.2	0	6	0.2	0.2	1.484104	0.463782	28.667691	4.262335	25.795698
3.4	0	6	0.2	0.2	2.171065	0.638548	29.513772	6.221418	26.648165
3.6	0	6	0.2	0.2	0.850089	0.236136	31.962761	3.460127	27.892449
3.8	0	6	0.2	0.2	1.863357	0.490357	27.905245	-1.265646	28.584474

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.515664	26.773083	0.000000	0.000000
0.2	0	6	0.2	0.2	0.128904	0.644522	29.120031	3.753703	0.000000
0.4	0	6	0.2	0.2	0.095088	0.237721	25.857554	2.387368	0.750741
0.6	0	6	0.2	0.2	0.148694	0.247824	34.694534	4.976250	1.228214
0.8	0	6	0.2	0.2	0.203475	0.254344	30.844294	5.823621	2.223464
1.0	0	6	0.2	0.2	0.678475	0.678475	34.908229	21.385568	3.388188
1.2	0	6	0.2	0.2	0.399477	0.332897	25.954062	7.305935	7.665302
1.4	0	6	0.2	0.2	0.741305	0.529504	33.982939	18.426218	9.126489
1.6	0	6	0.2	0.2	0.931887	0.582429	32.950504	18.767063	12.811733
1.8	0	6	0.2	0.2	0.762742	0.423745	25.544770	6.849133	16.565145
2.0	0	6	0.2	0.2	1.198699	0.599349	31.454902	16.206321	17.934972
2.2	0	6	0.2	0.2	1.046431	0.475651	25.412095	4.432536	21.176236
2.4	0	6	0.2	0.2	1.482839	0.617850	32.592581	15.614055	22.062743
2.6	0	6	0.2	0.2	1.553675	0.597567	26.582888	2.171002	25.185554
2.8	0	6	0.2	0.2	1.755429	0.626939	26.082336	0.812028	25.619755
3.0	0	6	0.2	0.2	1.693076	0.564359	32.230331	10.917241	25.782160
3.2	0	6	0.2	0.2	1.160228	0.362571	34.565097	7.656914	27.965609
3.4	0	6	0.2	0.2	1.723689	0.506967	32.157351	4.585633	29.496991
3.6	0	6	0.2	0.2	1.236565	0.343490	31.516531	1.363204	30.414118
3.8	0	6	0.2	0.2	1.641646	0.432012	29.489011	-1.966279	30.686759

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.492865	27.906349	0.000000	0.000000
0.2	0	6	0.2	0.2	0.047358	0.236792	25.092776	1.188352	0.000000
0.4	0	6	0.2	0.2	0.096063	0.240159	34.444521	3.286028	0.237670
0.6	0	6	0.2	0.2	0.229615	0.382691	27.392592	6.084261	0.894876
0.8	0	6	0.2	0.2	0.477927	0.597409	34.972638	15.705130	2.111728
1.0	0	6	0.2	0.2	0.481933	0.481933	30.223582	12.034261	5.252754
1.2	0	6	0.2	0.2	0.473642	0.394701	33.905032	12.430929	7.659606
1.4	0	6	0.2	0.2	0.892196	0.637283	34.505357	21.733504	10.145792
1.6	0	6	0.2	0.2	0.715990	0.447494	25.237532	7.693340	14.492493
1.8	0	6	0.2	0.2	0.425976	0.236653	34.634487	7.924569	16.031161
2.0	0	6	0.2	0.2	0.707661	0.353830	28.522051	7.717729	17.616075
2.2	0	6	0.2	0.2	0.836359	0.380163	27.401942	6.893538	19.159620
2.4	0	6	0.2	0.2	1.405977	0.585824	26.398376	8.239090	20.538328
2.6	0	6	0.2	0.2	1.691664	0.650640	34.365000	20.602528	22.186146
2.8	0	6	0.2	0.2	1.674699	0.598107	30.506664	7.033756	26.306652
3.0	0	6	0.2	0.2	1.499735	0.499912	25.875783	-2.755943	27.713403

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.461189	26.578652	0.000000	0.000000
0.2	0	6	0.2	0.2	0.095467	0.477334	34.331879	3.277554	0.000000
0.4	0	6	0.2	0.2	0.110932	0.277331	32.090366	3.487142	0.655511
0.6	0	6	0.2	0.2	0.397062	0.661769	33.520160	12.772371	1.352939
0.8	0	6	0.2	0.2	0.427468	0.534335	28.798517	10.640149	3.907414
1.0	0	6	0.2	0.2	0.659928	0.659928	26.146682	13.271973	6.035443
1.2	0	6	0.2	0.2	0.432419	0.360349	28.019148	8.358369	8.689838
1.4	0	6	0.2	0.2	0.434550	0.310393	31.963886	9.387311	10.361512
1.6	0	6	0.2	0.2	0.347144	0.216965	33.216439	7.282193	12.238974
1.8	0	6	0.2	0.2	0.832287	0.462382	33.005834	16.071809	13.695412
2.0	0	6	0.2	0.2	1.271005	0.635503	28.094833	14.216268	16.909774
2.2	0	6	0.2	0.2	1.175447	0.534294	31.393964	13.683301	19.753028
2.4	0	6	0.2	0.2	0.755972	0.314988	33.335966	8.199481	22.489688
2.6	0	6	0.2	0.2	1.052639	0.404861	29.094715	5.226491	24.129584
2.8	0	6	0.2	0.2	1.491800	0.532786	27.230157	3.066058	25.174883
3.0	0	6	0.2	0.2	1.825035	0.608345	25.844472	0.102892	25.788094
3.2	0	6	0.2	0.2	1.967550	0.614859	29.410054	7.085898	25.808673
3.4	0	6	0.2	0.2	2.131916	0.627034	30.244978	6.436524	27.225852
3.6	0	6	0.2	0.2	2.354825	0.654118	32.134512	8.527657	28.513157
3.8	0	6	0.2	0.2	1.312421	0.345374	25.706325	-5.922122	30.218688

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.695932	28.086426	0.000000	0.000000
0.2	0	6	0.2	0.2	0.075329	0.376647	30.895150	2.327311	0.000000
0.4	0	6	0.2	0.2	0.225653	0.564134	32.641864	7.260717	0.465462
0.6	0	6	0.2	0.2	0.366557	0.610929	34.438905	11.920920	1.917606
0.8	0	6	0.2	0.2	0.466703	0.583379	32.628046	13.219952	4.301790
1.0	0	6	0.2	0.2	0.382310	0.382310	27.761140	7.957923	6.945780
1.2	0	6	0.2	0.2	0.774911	0.645759	26.337329	13.793391	8.537365
1.4	0	6	0.2	0.2	0.646039	0.461457	29.125838	11.518750	11.296043
1.6	0	6	0.2	0.2	0.993426	0.620892	31.880631	18.160668	13.599793
1.8	0	6	0.2	0.2	0.565247	0.314026	31.427523	8.024019	17.231926
2.0	0	6	0.2	0.2	0.905518	0.452759	32.362965	12.248254	18.836730
2.2	0	6	0.2	0.2	1.258890	0.572223	25.803162	5.686132	21.286381
2.4	0	6	0.2	0.2	0.604463	0.251860	31.977288	5.774849	22.423607
2.6	0	6	0.2	0.2	0.529053	0.203482	28.278034	2.486263	23.578577
2.8	0	6	0.2	0.2	0.747965	0.267131	32.062982	5.974114	24.075830
3.0	0	6	0.2	0.2	0.815668	0.271889	28.070560	2.283795	25.270652
3.2	0	6	0.2	0.2	1.968790	0.615247	34.560881	17.391242	25.727411
3.4	0	6	0.2	0.2	0.878731	0.258450	34.262188	4.443328	29.205660
3.6	0	6	0.2	0.2	2.474366	0.687324	34.773234	11.577335	30.094325
3.8	0	6	0.2	0.2	1.878563	0.494359	26.474785	-11.149286	32.409792

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.398841	26.146457	0.000000	0.000000
0.2	0	6	0.2	0.2	0.079087	0.395433	31.378707	2.481638	0.000000
0.4	0	6	0.2	0.2	0.158313	0.395783	27.234007	4.232931	0.496328
0.6	0	6	0.2	0.2	0.213423	0.355705	26.405757	5.348985	1.342914
0.8	0	6	0.2	0.2	0.494142	0.617677	32.668357	14.950571	2.412711
1.0	0	6	0.2	0.2	0.614507	0.614507	29.659909	14.906151	5.402825
1.2	0	6	0.2	0.2	0.753998	0.628331	25.261105	12.725255	8.384055
1.4	0	6	0.2	0.2	0.286086	0.204347	29.922885	5.433859	10.929106
1.6	0	6	0.2	0.2	0.620257	0.387661	31.379218	12.010245	12.015878
1.8	0	6	0.2	0.2	0.800005	0.444447	28.319278	11.121156	14.417927
2.0	0	6	0.2	0.2	0.702332	0.351166	31.154021	10.192143	16.642158
2.2	0	6	0.2	0.2	1.384428	0.629285	25.902922	9.998804	18.680587
2.4	0	6	0.2	0.2	0.962235	0.400931	26.286135	5.394082	20.680348
2.6	0	6	0.2	0.2	0.859464	0.330563	34.701550	11.123520	21.759164
2.8	0	6	0.2	0.2	1.343797	0.479927	34.379292	13.969337	23.983868
3.0	0	6	0.2	0.2	1.573755	0.524585	32.216859	8.559847	26.777735
3.2	0	6	0.2	0.2	0.771511	0.241097	33.678392	4.003131	28.489705
3.4	0	6	0.2	0.2	1.896095	0.557675	28.226818	-2.016521	29.290331

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.236971	30.736895	0.000000	0.000000
0.2	0	6	0.2	0.2	0.130791	0.653953	25.433152	3.326419	0.000000
0.4	0	6	0.2	0.2	0.201698	0.504245	34.167441	6.757323	0.665284
0.6	0	6	0.2	0.2	0.390025	0.650041	32.459849	11.873558	2.016748
0.8	0	6	0.2	0.2	0.459461	0.574326	26.808328	10.299670	4.391460
1.0	0	6	0.2	0.2	0.211054	0.211054	29.203631	4.801960	6.451394
1.2	0	6	0.2	0.2	0.776804	0.647336	30.833685	18.194214	7.411786
1.4	0	6	0.2	0.2	0.413064	0.295046	31.160259	8.306559	11.050629
1.6	0	6	0.2	0.2	0.380029	0.237518	29.014435	6.195415	12.711940
1.8	0	6	0.2	0.2	0.968805	0.538225	31.970835	17.457680	13.951023
2.0	0	6	0.2	0.2	0.829813	0.414907	26.464776	7.486753	17.442559
2.2	0	6	0.2	0.2	0.770362	0.350165	25.198720	4.821552	18.939910
2.4	0	6	0.2	0.2	1.624854	0.677023	25.384680	8.904947	19.904220
2.6	0	6	0.2	0.2	1.060471	0.407874	34.185478	13.256175	21.685210
2.8	0	6	0.2	0.2	1.063147	0.379695	33.332906	9.564564	24.336445
3.0	0	6	0.2	0.2	1.593492	0.531164	29.843362	5.727016	26.249358
3.2	0	6	0.2	0.2	2.030101	0.634407	30.693080	6.695920	27.394761
3.4	0	6	0.2	0.2	0.819081	0.240906	29.753917	0.835439	28.733945
3.6	0	6	0.2	0.2	0.821754	0.228265	26.678762	-1.826160	28.901033

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.206058	28.566989	0.000000	0.000000
0.2	0	6	0.2	0.2	0.083624	0.418119	33.956721	2.839588	0.000000
0.4	0	6	0.2	0.2	0.196881	0.492203	33.027008	6.390585	0.567918
0.6	0	6	0.2	0.2	0.382680	0.637799	32.290309	11.650403	1.846035
0.8	0	6	0.2	0.2	0.513035	0.641294	27.144456	11.783571	4.176115
1.0	0	6	0.2	0.2	0.527936	0.527936	34.565737	14.799583	6.532829
1.2	0	6	0.2	0.2	0.468851	0.390709	34.280011	11.621529	9.492746
1.4	0	6	0.2	0.2	0.802116	0.572940	33.402626	17.314138	11.817052
1.6	0	6	0.2	0.2	0.534910	0.334318	28.376414	7.005461	15.279879
1.8	0	6	0.2	0.2	1.105923	0.614402	26.271901	10.606829	16.680972
2.0	0	6	0.2	0.2	0.779786	0.389893	31.078141	9.572500	18.802338
2.2	0	6	0.2	0.2	0.924532	0.420242	29.045435	7.700055	20.716838
2.4	0	6	0.2	0.2	1.649563	0.687318	26.833554	7.549565	22.256849
2.6	0	6	0.2	0.2	1.206674	0.464105	32.378660	10.391750	23.766762
2.8	0	6	0.2	0.2	1.136652	0.405947	31.498117	6.425501	25.845112
3.0	0	6	0.2	0.2	0.640113	0.213371	31.646345	2.890836	27.130212
3.2	0	6	0.2	0.2	1.327877	0.414962	26.925243	-1.039908	27.708379

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.618402	29.443666	0.000000	0.000000
0.2	0	6	0.2	0.2	0.047122	0.235608	34.148432	1.609127	0.000000
0.4	0	6	0.2	0.2	0.244754	0.611885	34.690224	8.411805	0.321825
0.6	0	6	0.2	0.2	0.224546	0.374243	34.634636	7.327029	2.004186
0.8	0	6	0.2	0.2	0.248536	0.310670	27.543131	5.983140	3.469592
1.0	0	6	0.2	0.2	0.694708	0.694708	29.233111	17.066812	4.666220
1.2	0	6	0.2	0.2	0.837200	0.697667	28.463712	17.065601	8.079583
1.4	0	6	0.2	0.2	0.317858	0.227041	27.291653	5.021815	11.492703
1.6	0	6	0.2	0.2	0.695373	0.434608	30.472995	12.499982	12.497066
1.8	0	6	0.2	0.2	0.500905	0.278281	27.123945	6.074417	14.997062
2.0	0	6	0.2	0.2	1.317167	0.658583	26.457450	13.495037	16.211946
2.2	0	6	0.2	0.2	1.496050	0.680023	25.099328	9.258116	18.910953
2.4	0	6	0.2	0.2	1.390331	0.579305	29.415967	12.031081	20.762576
2.6	0	6	0.2	0.2	1.186989	0.456534	30.128076	8.260590	23.168793
2.8	0	6	0.2	0.2	0.629165	0.224702	29.714102	3.078626	24.820911
3.0	0	6	0.2	0.2	0.919270	0.306423	31.457601	5.534891	25.436636
3.2	0	6	0.2	0.2	1.798451	0.562016	25.484655	-1.904486	26.543614

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.206767	28.007169	0.000000	0.000000
0.2	0	6	0.2	0.2	0.093073	0.465363	28.706707	2.671809	0.000000
0.4	0	6	0.2	0.2	0.252010	0.630024	32.288623	8.002385	0.534362
0.6	0	6	0.2	0.2	0.335435	0.559058	30.977997	9.675006	2.134839
0.8	0	6	0.2	0.2	0.398150	0.497687	33.559720	11.741385	4.069840
1.0	0	6	0.2	0.2	0.205939	0.205939	26.915720	4.221260	6.418117
1.2	0	6	0.2	0.2	0.510363	0.425302	31.066890	12.148943	7.262369
1.4	0	6	0.2	0.2	0.474810	0.339150	31.724094	10.460979	9.692158
1.6	0	6	0.2	0.2	0.963073	0.601921	31.537933	19.024140	11.784353
1.8	0	6	0.2	0.2	1.109811	0.616562	29.278347	15.192386	15.589181
2.0	0	6	0.2	0.2	1.309974	0.654987	27.630974	11.794106	18.627659
2.2	0	6	0.2	0.2	1.202783	0.546720	25.577952	5.522545	20.986480
2.4	0	6	0.2	0.2	1.366915	0.569548	26.825976	6.472325	22.090989
2.6	0	6	0.2	0.2	0.761062	0.292716	25.895954	1.910647	23.385454
2.8	0	6	0.2	0.2	0.791212	0.282576	32.402571	6.832105	23.767583
3.0	0	6	0.2	0.2	0.881054	0.293685	34.943236	8.642462	25.134004
3.2	0	6	0.2	0.2	1.910762	0.597113	27.066710	0.390203	26.862497
3.4	0	6	0.2	0.2	2.184612	0.642533	26.214239	-1.586680	26.940537

Simulation ends at time = 4.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.413678	27.136385	0.000000	0.000000
0.2	0	6	0.2	0.2	0.089690	0.448448	34.394186	3.084798	0.000000
0.4	0	6	0.2	0.2	0.164625	0.411563	29.097668	4.688639	0.616960
0.6	0	6	0.2	0.2	0.291184	0.485306	32.577112	9.033229	1.554687
0.8	0	6	0.2	0.2	0.410518	0.513147	25.485190	9.082231	3.361333
1.0	0	6	0.2	0.2	0.409419	0.409419	27.377200	9.088859	5.177779
1.2	0	6	0.2	0.2	0.459096	0.382580	27.549709	9.436335	6.995551
1.4	0	6	0.2	0.2	0.416594	0.297567	28.580088	8.205772	8.882818
1.6	0	6	0.2	0.2	0.465459	0.290912	25.853044	7.135060	10.523973
1.8	0	6	0.2	0.2	0.833129	0.462850	30.463399	15.423236	11.950985
2.0	0	6	0.2	0.2	0.727995	0.363997	26.694938	8.487911	15.035632
2.2	0	6	0.2	0.2	1.479594	0.672543	28.685090	17.683921	16.733214
2.4	0	6	0.2	0.2	0.878577	0.366074	32.751989	10.966385	20.269998
2.6	0	6	0.2	0.2	1.403369	0.539757	26.571007	5.764662	22.463275
2.8	0	6	0.2	0.2	0.741196	0.264713	33.914499	7.633052	23.616208
3.0	0	6	0.2	0.2	1.843556	0.614519	32.322605	13.236341	25.142818
3.2	0	6	0.2	0.2	1.095749	0.342422	33.122419	5.842900	27.790086
3.4	0	6	0.2	0.2	2.020068	0.594138	29.652199	1.400983	28.958666
3.6	0	6	0.2	0.2	1.432311	0.397864	30.394806	1.655670	29.238863
3.8	0	6	0.2	0.2	1.256592	0.330682	31.650670	2.614557	29.569997
4.0	0	6	0.2	0.2	1.965577	0.491394	25.821826	-8.395143	30.092908

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.670320	32.056330	0.000000	0.000000
0.2	0	6	0.2	0.2	0.075490	0.377449	26.822947	2.024857	0.000000
0.4	0	6	0.2	0.2	0.204109	0.510272	26.573816	5.341289	0.404971
0.6	0	6	0.2	0.2	0.188534	0.314223	28.089756	5.018122	1.473229
0.8	0	6	0.2	0.2	0.288968	0.361209	26.928619	7.065767	2.476854
1.0	0	6	0.2	0.2	0.695295	0.695295	29.761916	17.988613	3.890007
1.2	0	6	0.2	0.2	0.314808	0.262340	31.232790	7.475134	7.487730
1.4	0	6	0.2	0.2	0.542539	0.387528	33.814239	13.472050	8.982756
1.6	0	6	0.2	0.2	1.085019	0.678137	26.391692	15.965545	11.677166
1.8	0	6	0.2	0.2	0.995004	0.552780	25.799299	10.874424	14.870275
2.0	0	6	0.2	0.2	1.248540	0.624270	29.361889	15.377922	17.045160
2.2	0	6	0.2	0.2	1.298026	0.590012	26.659875	8.487958	20.120745
2.4	0	6	0.2	0.2	1.129799	0.470750	34.977667	14.867400	21.818336
2.6	0	6	0.2	0.2	1.778797	0.684153	30.486891	10.130382	24.791817
2.8	0	6	0.2	0.2	1.719328	0.614046	28.784749	3.381670	26.817893
3.0	0	6	0.2	0.2	1.057445	0.352482	30.164081	2.823225	27.494227
3.2	0	6	0.2	0.2	1.689927	0.528102	25.373702	-4.537741	28.058872

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.490343	28.311792	0.000000	0.000000
0.2	0	6	0.2	0.2	0.070129	0.350643	32.024714	2.245848	0.000000
0.4	0	6	0.2	0.2	0.116610	0.291525	34.822457	4.008269	0.449170
0.6	0	6	0.2	0.2	0.326006	0.543343	34.992141	10.999874	1.250823
0.8	0	6	0.2	0.2	0.424932	0.531165	33.511982	12.773964	3.450798
1.0	0	6	0.2	0.2	0.648724	0.648724	30.617635	15.966428	6.005591
1.2	0	6	0.2	0.2	0.778740	0.648950	30.036759	16.227301	9.198877
1.4	0	6	0.2	0.2	0.637820	0.455586	33.230132	13.257597	12.444337
1.6	0	6	0.2	0.2	0.607041	0.379400	29.930644	9.005319	15.095856
1.8	0	6	0.2	0.2	0.470119	0.261177	28.419125	5.416809	16.896920
2.0	0	6	0.2	0.2	0.621662	0.310831	32.810574	9.219426	17.980282
2.2	0	6	0.2	0.2	0.586384	0.266538	29.075010	5.424550	19.824167
2.4	0	6	0.2	0.2	0.715898	0.298291	33.197983	8.797601	20.909077
2.6	0	6	0.2	0.2	1.100754	0.423367	26.460403	4.173847	22.668597
2.8	0	6	0.2	0.2	0.643049	0.229660	28.940593	3.496404	23.503367
3.0	0	6	0.2	0.2	1.729389	0.576463	25.397830	2.066935	24.202647
3.2	0	6	0.2	0.2	0.752003	0.235001	30.039039	4.078113	24.616034
3.4	0	6	0.2	0.2	1.427752	0.419927	33.591288	11.649930	25.431657
3.6	0	6	0.2	0.2	1.640643	0.455734	31.099667	5.476505	27.761643
3.8	0	6	0.2	0.2	1.902892	0.500761	27.842530	-1.930321	28.856944

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.213577	32.451464	0.000000	0.000000
0.2	0	6	0.2	0.2	0.086999	0.434996	28.749960	2.501221	0.000000
0.4	0	6	0.2	0.2	0.144626	0.361564	25.701014	3.644679	0.500244
0.6	0	6	0.2	0.2	0.339237	0.565395	26.574701	8.598145	1.229180
0.8	0	6	0.2	0.2	0.355835	0.444794	26.276724	8.300899	2.948809
1.0	0	6	0.2	0.2	0.443574	0.443574	28.843200	10.749667	4.608989
1.2	0	6	0.2	0.2	0.781908	0.651590	27.334102	16.087898	6.758922
1.4	0	6	0.2	0.2	0.902825	0.644875	32.945425	20.736927	9.976502
1.6	0	6	0.2	0.2	0.621501	0.388438	25.717737	7.205595	14.123887
1.8	0	6	0.2	0.2	1.172210	0.651228	28.388780	15.032157	15.565006
2.0	0	6	0.2	0.2	0.981963	0.490981	27.664343	8.928895	18.571438
2.2	0	6	0.2	0.2	1.009983	0.459083	26.069536	5.769345	20.357217
2.4	0	6	0.2	0.2	0.486153	0.202564	33.627890	5.890617	21.511085
2.6	0	6	0.2	0.2	1.397431	0.537473	28.126498	7.598235	22.689209
2.8	0	6	0.2	0.2	0.659835	0.235655	34.416160	6.735135	24.208856
3.0	0	6	0.2	0.2	1.276801	0.425600	29.142584	4.579505	25.555883
3.2	0	6	0.2	0.2	2.093242	0.654138	26.068402	-0.844376	26.471784

Simulation ends at time = 4.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.289887	29.544344	0.000000	0.000000
0.2	0	6	0.2	0.2	0.050371	0.251856	28.428370	1.431970	0.000000
0.4	0	6	0.2	0.2	0.237090	0.592725	28.425207	6.671435	0.286394
0.6	0	6	0.2	0.2	0.185598	0.309330	31.467199	5.539450	1.620681
0.8	0	6	0.2	0.2	0.400319	0.500398	31.599233	11.557460	2.728571
1.0	0	6	0.2	0.2	0.668983	0.668983	28.971576	16.009779	5.040063
1.2	0	6	0.2	0.2	0.470054	0.391712	31.270627	10.824686	8.242019
1.4	0	6	0.2	0.2	0.384250	0.274464	29.817856	7.458640	10.406956
1.6	0	6	0.2	0.2	0.718477	0.449048	27.707436	11.358223	11.898684
1.8	0	6	0.2	0.2	0.454502	0.252501	31.730373	7.981083	14.170328
2.0	0	6	0.2	0.2	0.524635	0.262318	26.093122	5.417684	15.766545
2.2	0	6	0.2	0.2	0.514738	0.233972	33.055291	8.341439	16.850082
2.4	0	6	0.2	0.2	1.002616	0.417756	27.444068	8.949044	18.518370
2.6	0	6	0.2	0.2	1.250172	0.480835	27.939314	9.540230	20.308179
2.8	0	6	0.2	0.2	1.234175	0.440777	34.780687	15.506746	22.216225
3.0	0	6	0.2	0.2	1.084474	0.361491	25.667983	0.380010	25.317574
3.2	0	6	0.2	0.2	1.837988	0.574371	27.534666	3.935298	25.393576
3.4	0	6	0.2	0.2	0.889658	0.261664	29.745893	3.171859	26.180635
3.6	0	6	0.2	0.2	1.200053	0.333348	27.827483	1.215024	26.815007
3.8	0	6	0.2	0.2	1.877243	0.494011	31.668797	8.655562	27.058012
4.0	0	6	0.2	0.2	2.530131	0.632533	33.307122	11.431127	28.789124
4.2	0	6	0.2	0.2	2.083276	0.496018	27.912864	-6.588332	31.075350

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.658755	25.076976	0.000000	0.000000
0.2	0	6	0.2	0.2	0.131083	0.655413	27.991197	3.669158	0.000000
0.4	0	6	0.2	0.2	0.167892	0.419729	31.869713	5.227452	0.733832
0.6	0	6	0.2	0.2	0.255421	0.425701	27.972447	6.690262	1.779322
0.8	0	6	0.2	0.2	0.408859	0.511074	25.214211	9.034496	3.117374
1.0	0	6	0.2	0.2	0.312162	0.312162	33.132433	8.805528	4.924274
1.2	0	6	0.2	0.2	0.542708	0.452257	26.397216	10.697779	6.685379
1.4	0	6	0.2	0.2	0.552204	0.394431	34.128821	13.972906	8.824935
1.6	0	6	0.2	0.2	0.650060	0.406288	34.667826	14.982794	11.619516
1.8	0	6	0.2	0.2	1.236611	0.687006	34.592546	24.703120	14.616075
2.0	0	6	0.2	0.2	0.418498	0.209249	29.778733	4.277903	19.556699
2.2	0	6	0.2	0.2	1.496294	0.680134	30.024705	14.383017	20.412280
2.4	0	6	0.2	0.2	0.924502	0.385209	33.171659	9.136650	23.288883
2.6	0	6	0.2	0.2	1.372379	0.527838	30.417067	7.274780	25.116213
2.8	0	6	0.2	0.2	1.658843	0.592444	31.055998	7.439627	26.571169
3.0	0	6	0.2	0.2	1.991475	0.663825	29.393279	2.656995	28.059094
3.2	0	6	0.2	0.2	1.626612	0.508316	27.453188	-1.849954	28.590493

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.602934	34.691851	0.000000	0.000000
0.2	0	6	0.2	0.2	0.111303	0.556517	28.824815	3.208300	0.000000
0.4	0	6	0.2	0.2	0.142275	0.355687	26.332754	3.655194	0.641660
0.6	0	6	0.2	0.2	0.348166	0.580276	28.995898	9.617447	1.372699
0.8	0	6	0.2	0.2	0.195394	0.244243	31.201621	5.452564	3.296188
1.0	0	6	0.2	0.2	0.630071	0.630071	30.691727	16.574041	4.386701
1.2	0	6	0.2	0.2	0.482038	0.401699	31.391117	11.419296	7.701509
1.4	0	6	0.2	0.2	0.290777	0.207698	28.606648	5.414635	9.985369
1.6	0	6	0.2	0.2	0.651438	0.407149	29.716967	12.148450	11.068296
1.8	0	6	0.2	0.2	0.920062	0.511146	27.523786	12.904611	13.497985
2.0	0	6	0.2	0.2	0.502812	0.251406	31.753927	7.881580	16.078908
2.2	0	6	0.2	0.2	0.658690	0.299404	33.285767	10.295680	17.655224
2.4	0	6	0.2	0.2	0.641800	0.267417	31.978914	7.871391	19.714360
2.6	0	6	0.2	0.2	0.756816	0.291083	34.799095	10.224932	21.288638
2.8	0	6	0.2	0.2	1.343241	0.479729	33.429381	13.561038	23.333624
3.0	0	6	0.2	0.2	0.665519	0.221840	31.085820	3.354209	26.045832
3.2	0	6	0.2	0.2	1.694889	0.529653	33.184036	10.961464	26.716674
3.4	0	6	0.2	0.2	1.348362	0.396577	25.619693	-4.435131	28.908967

Simulation ends at time = 4.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.629692	34.196483	0.000000	0.000000
0.2	0	6	0.2	0.2	0.069072	0.345358	25.237384	1.743184	0.000000
0.4	0	6	0.2	0.2	0.189066	0.472665	32.616597	6.100777	0.348637
0.6	0	6	0.2	0.2	0.210422	0.350704	29.006059	5.773408	1.568792
0.8	0	6	0.2	0.2	0.493467	0.616834	30.330501	13.623157	2.723474
1.0	0	6	0.2	0.2	0.514715	0.514715	30.022984	12.649065	5.448105
1.2	0	6	0.2	0.2	0.281118	0.234265	32.968665	7.025343	7.977918
1.4	0	6	0.2	0.2	0.301452	0.215323	28.534038	5.773121	9.382987
1.6	0	6	0.2	0.2	0.936658	0.585411	32.670366	20.730828	10.537611
1.8	0	6	0.2	0.2	0.445897	0.247721	26.085473	5.083982	14.683777
2.0	0	6	0.2	0.2	0.968869	0.484434	26.809743	10.763329	15.700573
2.2	0	6	0.2	0.2	0.759521	0.345237	31.781253	10.578615	17.853239
2.4	0	6	0.2	0.2	0.546682	0.227784	25.294343	2.911292	19.968962
2.6	0	6	0.2	0.2	0.582089	0.223881	33.730031	7.671247	20.551221
2.8	0	6	0.2	0.2	0.996545	0.355909	32.171718	10.051401	22.085470
3.0	0	6	0.2	0.2	1.148283	0.382761	34.819618	12.314033	24.095750
3.2	0	6	0.2	0.2	1.691622	0.528632	28.560208	3.386038	26.558557
3.4	0	6	0.2	0.2	0.817869	0.240550	32.808224	4.557541	27.235764
3.6	0	6	0.2	0.2	2.437447	0.677069	28.774033	1.527697	28.147272
3.8	0	6	0.2	0.2	1.305240	0.343484	30.411791	2.556939	28.452812
4.0	0	6	0.2	0.2	1.299168	0.324792	33.808399	6.293431	28.964200
4.2	0	6	0.2	0.2	1.189962	0.283324	32.762110	3.021580	30.222886
4.4	0	6	0.2	0.2	2.066434	0.469644	30.519842	-0.635139	30.827202

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.670588	30.909929	0.000000	0.000000
0.2	0	6	0.2	0.2	0.128796	0.643981	30.366745	3.911119	0.000000
0.4	0	6	0.2	0.2	0.201662	0.504154	27.955120	5.479730	0.782224
0.6	0	6	0.2	0.2	0.319434	0.532391	27.424253	8.160296	1.878170
0.8	0	6	0.2	0.2	0.296430	0.370537	31.470380	8.288223	3.510229
1.0	0	6	0.2	0.2	0.560376	0.560376	25.157439	11.201677	5.167874
1.2	0	6	0.2	0.2	0.656741	0.547284	30.277844	15.019422	7.408209
1.4	0	6	0.2	0.2	0.321690	0.229779	25.504669	4.855137	10.412094
1.6	0	6	0.2	0.2	0.383541	0.239713	27.702800	6.259273	11.383121
1.8	0	6	0.2	0.2	0.601039	0.333911	32.257409	11.793848	12.634976
2.0	0	6	0.2	0.2	1.145646	0.572823	27.924366	14.813913	14.993745
2.2	0	6	0.2	0.2	0.758221	0.344646	26.657548	6.597293	17.956528
2.4	0	6	0.2	0.2	0.602108	0.250878	28.195198	5.370329	19.275986
2.6	0	6	0.2	0.2	1.008554	0.387905	25.532562	5.226841	20.350052
2.8	0	6	0.2	0.2	1.245635	0.444870	29.836512	10.514523	21.395420
3.0	0	6	0.2	0.2	1.773197	0.591066	30.744443	12.848796	23.498325
3.2	0	6	0.2	0.2	1.105605	0.345502	28.940203	3.175430	26.068084
3.4	0	6	0.2	0.2	1.273041	0.374424	25.228991	-1.876690	26.703170

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.548609	31.240405	0.000000	0.000000
0.2	0	6	0.2	0.2	0.068661	0.343305	27.661123	1.899238	0.000000
0.4	0	6	0.2	0.2	0.249767	0.624419	26.425962	6.505473	0.379848
0.6	0	6	0.2	0.2	0.389083	0.648472	31.147443	11.464922	1.680942
0.8	0	6	0.2	0.2	0.321354	0.401693	34.549840	9.825695	3.973926
1.0	0	6	0.2	0.2	0.370716	0.370716	30.801296	9.216817	5.939065
1.2	0	6	0.2	0.2	0.413010	0.344175	31.238958	9.687780	7.782429
1.4	0	6	0.2	0.2	0.825654	0.589753	25.254028	12.825738	9.719985
1.6	0	6	0.2	0.2	0.566849	0.354281	32.896542	11.683565	12.285132
1.8	0	6	0.2	0.2	0.490317	0.272398	28.479388	6.794592	14.621845
2.0	0	6	0.2	0.2	1.187488	0.593744	31.523135	18.456379	15.980764
2.2	0	6	0.2	0.2	0.629293	0.286042	29.443862	6.149342	19.672040
2.4	0	6	0.2	0.2	1.300970	0.542071	31.332149	13.569432	20.901908
2.6	0	6	0.2	0.2	0.633042	0.243478	28.323265	2.980026	23.615795
2.8	0	6	0.2	0.2	1.430744	0.510980	30.999785	9.711871	24.211800
3.0	0	6	0.2	0.2	2.055047	0.685016	34.360834	16.865070	26.154174
3.2	0	6	0.2	0.2	0.823125	0.257226	25.170953	-3.585724	29.527188

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.405078	26.279926	0.000000	0.000000
0.2	0	6	0.2	0.2	0.065296	0.326478	33.138023	2.163766	0.000000
0.4	0	6	0.2	0.2	0.122404	0.306011	33.512971	4.049163	0.432753
0.6	0	6	0.2	0.2	0.145517	0.242529	34.296141	4.809866	1.242586
0.8	0	6	0.2	0.2	0.190997	0.238746	31.366863	5.569906	2.204559
1.0	0	6	0.2	0.2	0.527485	0.527485	27.011314	12.497576	3.318540
1.2	0	6	0.2	0.2	0.430657	0.358881	25.998694	8.690927	5.818055
1.4	0	6	0.2	0.2	0.964981	0.689272	29.073259	20.763524	7.556241
1.6	0	6	0.2	0.2	0.602538	0.376586	31.947727	12.194632	11.708946
1.8	0	6	0.2	0.2	0.919110	0.510617	29.364376	13.985645	14.147872
2.0	0	6	0.2	0.2	0.564918	0.282459	25.199791	4.663281	16.945001
2.2	0	6	0.2	0.2	0.588734	0.267607	34.186694	9.601689	17.877657
2.4	0	6	0.2	0.2	0.787272	0.328030	27.952117	6.419515	19.797995
2.6	0	6	0.2	0.2	0.921477	0.354414	30.695533	8.858740	21.081898
2.8	0	6	0.2	0.2	0.998711	0.356682	30.792870	7.928989	22.853646
3.0	0	6	0.2	0.2	1.598714	0.532905	25.491737	1.682316	24.439444
3.2	0	6	0.2	0.2	0.728436	0.227636	26.445612	1.216274	24.775907
3.4	0	6	0.2	0.2	0.936150	0.275338	26.156903	1.065096	25.019162
3.6	0	6	0.2	0.2	2.400144	0.666707	33.934901	20.887783	25.232181
3.8	0	6	0.2	0.2	1.970621	0.518585	28.074182	-2.631874	29.409738

Simulation ends at time = 4.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.238493	28.063178	0.000000	0.000000
0.2	0	6	0.2	0.2	0.111449	0.557244	28.441671	3.169789	0.000000
0.4	0	6	0.2	0.2	0.213214	0.533036	27.555752	5.740110	0.633958
0.6	0	6	0.2	0.2	0.304736	0.507893	32.162718	9.258100	1.781980
0.8	0	6	0.2	0.2	0.541865	0.677331	31.100892	14.883553	3.633600
1.0	0	6	0.2	0.2	0.507550	0.507550	29.249966	11.490761	6.610310
1.2	0	6	0.2	0.2	0.740895	0.617412	31.636803	16.839303	8.908463
1.4	0	6	0.2	0.2	0.960177	0.685841	33.468290	20.348041	12.276323
1.6	0	6	0.2	0.2	0.972911	0.608069	25.316178	8.727252	16.345931
1.8	0	6	0.2	0.2	0.710837	0.394909	29.626384	8.199507	18.091382
2.0	0	6	0.2	0.2	0.562108	0.281054	33.035600	7.478462	19.731283
2.2	0	6	0.2	0.2	0.586598	0.266635	27.684662	3.788065	21.226975
2.4	0	6	0.2	0.2	1.441549	0.600646	26.718795	6.824591	21.984589
2.6	0	6	0.2	0.2	1.114745	0.428748	25.021276	1.863596	23.349507
2.8	0	6	0.2	0.2	1.407621	0.502722	32.096567	11.787899	23.722226
3.0	0	6	0.2	0.2	1.961308	0.653769	29.426075	6.563065	26.079806
3.2	0	6	0.2	0.2	0.974702	0.304594	32.589633	5.065736	27.392419
3.4	0	6	0.2	0.2	1.384989	0.407350	29.732942	1.838400	28.405566
3.6	0	6	0.2	0.2	0.735484	0.204301	30.956334	1.605626	28.773246
3.8	0	6	0.2	0.2	2.049251	0.539277	29.323998	0.470563	29.094371
4.0	0	6	0.2	0.2	1.602839	0.400710	34.184474	8.007766	29.188484
4.2	0	6	0.2	0.2	1.201234	0.286008	31.458967	0.803542	30.790037
4.4	0	6	0.2	0.2	1.947215	0.442549	31.511222	1.091369	30.950745
4.6	0	6	0.2	0.2	3.067537	0.666856	25.747915	-16.629441	31.169019

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.397888	26.309919	0.000000	0.000000
0.2	0	6	0.2	0.2	0.077218	0.386090	32.374383	2.499882	0.000000
0.4	0	6	0.2	0.2	0.092364	0.230911	34.666981	3.155811	0.499976
0.6	0	6	0.2	0.2	0.180515	0.300858	29.621843	5.142991	1.131139
0.8	0	6	0.2	0.2	0.556798	0.695997	29.300883	15.112130	2.159737
1.0	0	6	0.2	0.2	0.532811	0.532811	34.614044	15.681619	5.182163
1.2	0	6	0.2	0.2	0.298199	0.248499	32.776704	7.293418	8.318487
1.4	0	6	0.2	0.2	0.567040	0.405028	28.590383	10.667837	9.777170
1.6	0	6	0.2	0.2	0.477536	0.298460	33.647759	10.380215	11.910738
1.8	0	6	0.2	0.2	1.169963	0.649979	29.611360	18.280176	13.986780
2.0	0	6	0.2	0.2	0.729439	0.364720	31.793577	10.322121	17.642816
2.2	0	6	0.2	0.2	1.382317	0.628326	29.224116	13.155336	19.707240
2.4	0	6	0.2	0.2	0.850759	0.354483	27.516994	4.405814	22.338307
2.6	0	6	0.2	0.2	0.596823	0.229547	26.321841	1.851566	23.219470
2.8	0	6	0.2	0.2	1.520770	0.543132	26.753531	4.811334	23.589783
3.0	0	6	0.2	0.2	1.572324	0.524108	33.894092	14.688720	24.552050
3.2	0	6	0.2	0.2	2.193263	0.685395	29.401995	4.193961	27.489794
3.4	0	6	0.2	0.2	1.157338	0.340394	33.389827	5.857567	28.328586
3.6	0	6	0.2	0.2	1.966728	0.546313	33.906341	8.665878	29.500099
3.8	0	6	0.2	0.2	1.403918	0.369452	30.665228	-0.797491	31.233275

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.598378	28.732049	0.000000	0.000000
0.2	0	6	0.2	0.2	0.054635	0.273176	33.284987	1.818535	0.000000
0.4	0	6	0.2	0.2	0.123064	0.307659	31.190129	3.793610	0.363707
0.6	0	6	0.2	0.2	0.332702	0.554504	32.169234	10.329348	1.122429
0.8	0	6	0.2	0.2	0.275102	0.343878	33.227936	8.263965	3.188299
1.0	0	6	0.2	0.2	0.346976	0.346976	33.035612	9.782835	4.841091
1.2	0	6	0.2	0.2	0.671847	0.559873	30.149792	15.689067	6.797658
1.4	0	6	0.2	0.2	0.480512	0.343223	32.365648	10.777972	9.935472
1.6	0	6	0.2	0.2	0.334661	0.209163	29.721936	5.900369	12.091066
1.8	0	6	0.2	0.2	0.766906	0.426059	28.831817	11.933575	13.271140
2.0	0	6	0.2	0.2	0.444414	0.222207	34.667149	8.447988	15.657855
2.2	0	6	0.2	0.2	1.295262	0.588755	26.717451	12.136603	17.347452
2.4	0	6	0.2	0.2	1.161636	0.484015	25.762556	6.955626	19.774773
2.6	0	6	0.2	0.2	0.600698	0.231038	25.927536	2.860306	21.165898
2.8	0	6	0.2	0.2	1.803909	0.644253	34.976224	23.880630	21.737960
3.0	0	6	0.2	0.2	1.813203	0.604401	27.163258	1.177082	26.514086
3.2	0	6	0.2	0.2	1.432525	0.447664	28.894052	3.072123	26.749502
3.4	0	6	0.2	0.2	0.866364	0.254813	32.968249	4.855381	27.363926
3.6	0	6	0.2	0.2	1.247071	0.346409	25.178800	-3.936010	28.335003

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.500609	27.478433	0.000000	0.000000
0.2	0	6	0.2	0.2	0.062133	0.310666	29.547375	1.835875	0.000000
0.4	0	6	0.2	0.2	0.183521	0.458802	29.819410	5.405096	0.367175
0.6	0	6	0.2	0.2	0.166992	0.278320	34.402484	5.503093	1.448194
0.8	0	6	0.2	0.2	0.352936	0.441170	33.622602	10.967051	2.548813
1.0	0	6	0.2	0.2	0.632603	0.632603	30.339139	16.192693	4.742223
1.2	0	6	0.2	0.2	0.826930	0.689108	31.765007	19.667910	7.980762
1.4	0	6	0.2	0.2	0.715432	0.511023	27.357806	11.048750	11.914344
1.6	0	6	0.2	0.2	0.879376	0.549610	26.252350	10.665301	14.124094
1.8	0	6	0.2	0.2	0.821948	0.456638	25.306061	7.437732	16.257154
2.0	0	6	0.2	0.2	0.486528	0.243264	30.290113	6.103695	17.744700
2.2	0	6	0.2	0.2	0.696798	0.316726	33.478277	10.112519	18.965439
2.4	0	6	0.2	0.2	0.996502	0.415209	32.687257	11.658394	20.987943
2.6	0	6	0.2	0.2	1.615169	0.621219	31.678177	13.500483	23.319622
2.8	0	6	0.2	0.2	1.616230	0.577225	28.003021	3.205474	26.019718
3.0	0	6	0.2	0.2	1.925322	0.641774	26.123894	-1.033742	26.660813

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.659746	25.493526	0.000000	0.000000
0.2	0	6	0.2	0.2	0.079266	0.396331	34.866610	2.763745	0.000000
0.4	0	6	0.2	0.2	0.111334	0.278336	29.736941	3.249204	0.552749
0.6	0	6	0.2	0.2	0.388894	0.648156	26.832429	9.967286	1.202590
0.8	0	6	0.2	0.2	0.341095	0.426369	26.294159	7.878649	3.196047
1.0	0	6	0.2	0.2	0.389563	0.389563	31.254994	10.316890	4.771777
1.2	0	6	0.2	0.2	0.723142	0.602619	33.330005	19.159545	6.835155
1.4	0	6	0.2	0.2	0.310081	0.221486	32.147199	6.660576	10.667064
1.6	0	6	0.2	0.2	0.622693	0.389183	31.016068	11.841691	11.999179
1.8	0	6	0.2	0.2	0.541129	0.300627	34.367637	10.822644	14.367517
2.0	0	6	0.2	0.2	1.295057	0.647529	26.755227	13.239603	16.532046
2.2	0	6	0.2	0.2	0.545964	0.248166	29.753619	5.772838	19.179967
2.4	0	6	0.2	0.2	0.681152	0.283813	30.080355	6.638381	20.334534
2.6	0	6	0.2	0.2	1.613359	0.620523	34.288653	20.370990	21.662210
2.8	0	6	0.2	0.2	0.835466	0.298381	31.082863	4.466780	25.736408
3.0	0	6	0.2	0.2	1.795813	0.598604	26.335967	-0.527605	26.629764

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.627810	27.146988	0.000000	0.000000
0.2	0	6	0.2	0.2	0.102857	0.514285	33.338858	3.429133	0.000000
0.4	0	6	0.2	0.2	0.126737	0.316841	30.197670	3.740230	0.685827
0.6	0	6	0.2	0.2	0.401262	0.668769	32.547763	12.484808	1.433872
0.8	0	6	0.2	0.2	0.397143	0.496429	33.628005	11.794032	3.930834
1.0	0	6	0.2	0.2	0.444194	0.444194	27.129277	9.256849	6.289641
1.2	0	6	0.2	0.2	0.562030	0.468358	30.457485	12.542532	8.141010
1.4	0	6	0.2	0.2	0.864269	0.617335	25.718454	13.023619	10.649517
1.6	0	6	0.2	0.2	0.619306	0.387066	29.480360	10.048935	13.254240
1.8	0	6	0.2	0.2	0.801922	0.445512	30.790118	12.450717	15.264027
2.0	0	6	0.2	0.2	0.745934	0.372967	29.839290	9.014700	17.754171
2.2	0	6	0.2	0.2	1.077757	0.489890	26.150968	7.106575	19.557111
2.4	0	6	0.2	0.2	1.086303	0.452626	34.467182	14.652873	20.978426
2.6	0	6	0.2	0.2	1.301209	0.500465	30.204945	8.192339	23.909000
2.8	0	6	0.2	0.2	1.743837	0.622799	27.110687	2.725999	25.547468
3.0	0	6	0.2	0.2	1.119965	0.373322	27.707848	1.808946	26.092668
3.2	0	6	0.2	0.2	2.098250	0.655703	31.255401	10.073582	26.454457
3.4	0	6	0.2	0.2	1.499871	0.441139	26.742924	-2.589152	28.469174

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.330881	25.524103	0.000000	0.000000
0.2	0	6	0.2	0.2	0.092781	0.463906	27.198013	2.523463	0.000000
0.4	0	6	0.2	0.2	0.132202	0.330504	26.924184	3.492699	0.504693
0.6	0	6	0.2	0.2	0.412552	0.687587	32.058951	12.729601	1.203232
0.8	0	6	0.2	0.2	0.549623	0.687028	29.223291	14.001160	3.749153
1.0	0	6	0.2	0.2	0.450702	0.450702	33.460540	12.128921	6.549385
1.2	0	6	0.2	0.2	0.399407	0.332839	27.992200	7.595535	8.975169
1.4	0	6	0.2	0.2	0.473661	0.338329	34.982779	11.599248	10.494276
1.6	0	6	0.2	0.2	0.893598	0.558499	26.476465	12.208646	12.814125
1.8	0	6	0.2	0.2	0.906128	0.503404	29.007384	12.460644	15.255855
2.0	0	6	0.2	0.2	0.826893	0.413447	29.094969	9.382746	17.747983
2.2	0	6	0.2	0.2	0.869479	0.395218	26.137805	5.663156	19.624533
2.4	0	6	0.2	0.2	1.464652	0.610272	27.382476	9.703775	20.757164
2.6	0	6	0.2	0.2	1.650124	0.634663	30.198710	12.377233	22.697919
2.8	0	6	0.2	0.2	0.629283	0.224744	32.597589	4.671937	25.173366
3.0	0	6	0.2	0.2	1.546756	0.515585	29.115754	4.652645	26.107753
3.2	0	6	0.2	0.2	1.135188	0.354746	27.019620	-0.021185	27.038282

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.674991	28.805500	0.000000	0.000000
0.2	0	6	0.2	0.2	0.063821	0.319107	25.039601	1.598064	0.000000
0.4	0	6	0.2	0.2	0.150973	0.377432	34.792711	5.204498	0.319613
0.6	0	6	0.2	0.2	0.321774	0.536290	34.169369	10.557031	1.360512
0.8	0	6	0.2	0.2	0.361110	0.451387	27.156612	8.552778	3.471918
1.0	0	6	0.2	0.2	0.611665	0.611665	27.056267	13.379438	5.182474
1.2	0	6	0.2	0.2	0.723573	0.602978	33.681948	18.685259	7.858362
1.4	0	6	0.2	0.2	0.848537	0.606098	27.811799	13.760208	11.595413
1.6	0	6	0.2	0.2	0.807038	0.504399	34.715769	16.437996	14.347455
1.8	0	6	0.2	0.2	1.242559	0.690311	28.271631	13.216578	17.635054
2.0	0	6	0.2	0.2	1.181182	0.590591	27.426293	8.442997	20.278370
2.2	0	6	0.2	0.2	1.183788	0.538085	31.173096	10.898099	21.966969
2.4	0	6	0.2	0.2	0.859080	0.357950	33.360410	7.915412	24.146589
2.6	0	6	0.2	0.2	1.662139	0.639284	29.413147	6.122447	25.729671
2.8	0	6	0.2	0.2	1.562740	0.558122	30.109995	4.931749	26.954160
3.0	0	6	0.2	0.2	1.626470	0.542157	25.887280	-3.339517	27.940510

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.504495	25.132652	0.000000	0.000000
0.2	0	6	0.2	0.2	0.045551	0.227753	32.675600	1.488393	0.000000
0.4	0	6	0.2	0.2	0.210313	0.525782	30.402298	6.331390	0.297679
0.6	0	6	0.2	0.2	0.135716	0.226194	25.019296	3.183273	1.563957
0.8	0	6	0.2	0.2	0.329277	0.411596	31.121482	9.522977	2.200611
1.0	0	6	0.2	0.2	0.541494	0.541494	29.789228	13.907755	4.105207
1.2	0	6	0.2	0.2	0.810068	0.675057	26.895615	16.208531	6.886758
1.4	0	6	0.2	0.2	0.732576	0.523269	31.119348	15.377419	10.128464
1.6	0	6	0.2	0.2	0.905410	0.565881	31.663343	16.713326	13.203948
1.8	0	6	0.2	0.2	0.989360	0.549644	25.919378	9.273034	16.546613
2.0	0	6	0.2	0.2	1.335368	0.667684	26.755254	11.155706	18.401220
2.2	0	6	0.2	0.2	1.094506	0.497503	33.583451	14.175050	20.632361
2.4	0	6	0.2	0.2	1.481136	0.617140	26.691162	4.774872	23.467371
2.6	0	6	0.2	0.2	1.333071	0.512719	34.437868	13.351398	24.422345
2.8	0	6	0.2	0.2	1.659953	0.592840	31.516847	7.343999	27.092625
3.0	0	6	0.2	0.2	1.555419	0.518473	28.716914	0.241850	28.561425
3.2	0	6	0.2	0.2	0.735957	0.229987	32.957356	3.199619	28.609795
3.4	0	6	0.2	0.2	1.578128	0.464155	34.363680	8.070485	29.249719
3.6	0	6	0.2	0.2	2.476754	0.687987	32.266520	3.474153	30.863816
3.8	0	6	0.2	0.2	2.549998	0.671052	27.899575	-9.330625	31.558646

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.480183	27.012950	0.000000	0.000000
0.2	0	6	0.2	0.2	0.052408	0.262042	28.319510	1.484181	0.000000
0.4	0	6	0.2	0.2	0.093065	0.232663	28.452341	2.620295	0.296836
0.6	0	6	0.2	0.2	0.355691	0.592818	30.956197	10.718855	0.820895
0.8	0	6	0.2	0.2	0.425935	0.532419	25.825057	9.737049	2.964666
1.0	0	6	0.2	0.2	0.210960	0.210960	26.401067	4.533308	4.912076
1.2	0	6	0.2	0.2	0.297525	0.247937	28.790711	6.834728	5.818737
1.4	0	6	0.2	0.2	0.802562	0.573258	31.817851	19.768830	7.185683
1.6	0	6	0.2	0.2	0.412543	0.257840	25.252763	5.822352	11.139449
1.8	0	6	0.2	0.2	1.155662	0.642034	30.755133	21.323368	12.303920
2.0	0	6	0.2	0.2	1.130982	0.565491	34.882432	20.712617	16.568593
2.2	0	6	0.2	0.2	0.581017	0.264098	32.339600	6.756343	20.711116
2.4	0	6	0.2	0.2	0.903608	0.376503	29.150371	6.404762	22.062385
2.6	0	6	0.2	0.2	1.682103	0.646963	32.495745	15.395291	23.343337
2.8	0	6	0.2	0.2	0.803327	0.286902	32.746399	5.080240	26.422396
3.0	0	6	0.2	0.2	1.615153	0.538384	28.516499	1.741224	27.438444
3.2	0	6	0.2	0.2	0.854317	0.266974	30.166760	2.033337	27.786689
3.4	0	6	0.2	0.2	2.363209	0.695061	32.940168	11.217709	28.193356
3.6	0	6	0.2	0.2	1.059149	0.294208	25.441844	-5.290507	30.436898

Simulation ends at time = 4.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.676423	34.085809	0.000000	0.000000
0.2	0	6	0.2	0.2	0.131156	0.655780	30.220077	3.963543	0.000000
0.4	0	6	0.2	0.2	0.243296	0.608241	28.555241	6.754520	0.792709
0.6	0	6	0.2	0.2	0.388355	0.647258	26.142395	9.320036	2.143612
0.8	0	6	0.2	0.2	0.405367	0.506709	27.338530	9.457589	4.007620
1.0	0	6	0.2	0.2	0.696224	0.696224	30.534473	17.151708	5.899138
1.2	0	6	0.2	0.2	0.705237	0.587697	30.853177	15.179302	9.329479
1.4	0	6	0.2	0.2	0.714795	0.510568	26.426057	10.050533	12.365340
1.6	0	6	0.2	0.2	0.778480	0.486550	30.820387	12.802050	14.375446
1.8	0	6	0.2	0.2	0.603866	0.335481	32.726945	9.535703	16.935856
2.0	0	6	0.2	0.2	0.691104	0.345552	32.432726	9.391911	18.842997
2.2	0	6	0.2	0.2	0.807642	0.367110	28.986309	6.675101	20.721379
2.4	0	6	0.2	0.2	1.459320	0.608050	27.338688	7.708552	22.056399
2.6	0	6	0.2	0.2	0.830136	0.319283	29.193735	4.645131	23.598110
2.8	0	6	0.2	0.2	0.656940	0.234621	29.079950	2.990927	24.527136
3.0	0	6	0.2	0.2	1.833261	0.611087	27.077255	3.578404	25.125321
3.2	0	6	0.2	0.2	1.369140	0.427856	29.703321	5.288054	25.841002
3.4	0	6	0.2	0.2	1.930336	0.567746	29.954265	5.898434	26.898613
3.6	0	6	0.2	0.2	2.081991	0.578331	29.299618	2.542774	28.078299
3.8	0	6	0.2	0.2	1.104100	0.290553	31.611865	3.339913	28.586854
4.0	0	6	0.2	0.2	1.843883	0.460971	28.088052	-2.151415	29.254837

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.206110	30.063547	0.000000	0.000000
0.2	0	6	0.2	0.2	0.073538	0.367692	29.023193	2.134321	0.000000
0.4	0	6	0.2	0.2	0.172625	0.431562	28.501372	4.846354	0.426864
0.6	0	6	0.2	0.2	0.246849	0.411415	30.007705	7.062745	1.396135
0.8	0	6	0.2	0.2	0.544326	0.680407	33.947588	16.949710	2.808684
1.0	0	6	0.2	0.2	0.681716	0.681716	28.368857	15.113811	6.198626
1.2	0	6	0.2	0.2	0.704559	0.587133	29.615316	14.368732	9.221388
1.4	0	6	0.2	0.2	0.849670	0.606907	32.243830	17.119738	12.095135
1.6	0	6	0.2	0.2	0.755983	0.472489	27.193463	8.825634	15.519082
1.8	0	6	0.2	0.2	0.625159	0.347310	25.361214	5.049409	17.284209
2.0	0	6	0.2	0.2	0.838355	0.419178	30.849886	10.526217	18.294091
2.2	0	6	0.2	0.2	0.949224	0.431466	28.547826	7.734746	20.399334
2.4	0	6	0.2	0.2	1.459899	0.608291	28.565966	9.664068	21.946284
2.6	0	6	0.2	0.2	0.619666	0.238333	27.987378	2.545761	23.879097
2.8	0	6	0.2	0.2	1.129386	0.403352	30.470535	6.869249	24.388250
3.0	0	6	0.2	0.2	0.768079	0.256026	28.731567	2.280787	25.762099
3.2	0	6	0.2	0.2	2.191222	0.684757	34.537467	18.229238	26.218257
3.4	0	6	0.2	0.2	1.694051	0.498250	30.292845	0.726308	29.864104
3.6	0	6	0.2	0.2	2.044974	0.568048	29.223340	-1.607402	30.009366

Simulation ends at time = 4.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.450740	26.299197	0.000000	0.000000
0.2	0	6	0.2	0.2	0.135590	0.677948	34.125996	4.627133	0.000000
0.4	0	6	0.2	0.2	0.213699	0.534246	28.198477	5.828212	0.925427
0.6	0	6	0.2	0.2	0.383865	0.639776	32.032864	11.493617	2.091069
0.8	0	6	0.2	0.2	0.224461	0.280576	32.553287	6.321611	4.389792
1.0	0	6	0.2	0.2	0.248198	0.248198	25.070318	4.819056	5.654115
1.2	0	6	0.2	0.2	0.489774	0.408145	34.010441	13.416154	6.617926
1.4	0	6	0.2	0.2	0.397134	0.283667	30.238142	8.314781	9.301157
1.6	0	6	0.2	0.2	0.493186	0.308241	30.194259	9.484043	10.964113
1.8	0	6	0.2	0.2	0.698397	0.387998	29.808292	11.835988	12.860922
2.0	0	6	0.2	0.2	0.609660	0.304830	29.188659	8.511188	15.228119
2.2	0	6	0.2	0.2	0.538573	0.244806	34.446386	9.433654	16.930357
2.4	0	6	0.2	0.2	0.640507	0.266878	28.308451	6.079287	18.817088
2.6	0	6	0.2	0.2	0.618880	0.238031	31.892976	7.339932	20.032945
2.8	0	6	0.2	0.2	1.390193	0.496497	34.642371	18.269134	21.500931
3.0	0	6	0.2	0.2	1.210889	0.403630	28.358288	3.879121	25.154758
3.2	0	6	0.2	0.2	0.647020	0.202194	27.257652	0.858640	25.930582
3.4	0	6	0.2	0.2	1.112793	0.327292	33.130795	7.821251	26.102310
3.6	0	6	0.2	0.2	1.255404	0.348723	29.829712	2.715628	27.666561
3.8	0	6	0.2	0.2	2.392986	0.629733	31.982893	9.029233	28.209686
4.0	0	6	0.2	0.2	0.866716	0.216679	29.135703	-0.762563	30.015533

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.497085	34.603230	0.000000	0.000000
0.2	0	6	0.2	0.2	0.046599	0.232996	30.844313	1.437318	0.000000
0.4	0	6	0.2	0.2	0.084113	0.210282	34.818800	2.904526	0.287464
0.6	0	6	0.2	0.2	0.366067	0.610112	30.779051	10.949312	0.868369
0.8	0	6	0.2	0.2	0.272902	0.341128	31.513662	7.765552	3.058231
1.0	0	6	0.2	0.2	0.362802	0.362802	33.147432	10.352953	4.611342
1.2	0	6	0.2	0.2	0.658039	0.548366	26.370179	12.955627	6.681932
1.4	0	6	0.2	0.2	0.857769	0.612692	25.593425	13.999109	9.273057
1.6	0	6	0.2	0.2	0.804835	0.503022	29.723471	14.205811	12.072879
1.8	0	6	0.2	0.2	0.838625	0.465903	26.738546	9.916322	14.914041
2.0	0	6	0.2	0.2	1.032994	0.516497	25.844660	9.242565	16.897306
2.2	0	6	0.2	0.2	1.236203	0.561911	30.468390	14.491480	18.745819
2.4	0	6	0.2	0.2	1.026044	0.427518	29.942604	8.514615	21.644115
2.6	0	6	0.2	0.2	0.885786	0.340687	29.758412	5.679102	23.347038
2.8	0	6	0.2	0.2	0.883391	0.315497	29.965189	4.843043	24.482858
3.0	0	6	0.2	0.2	0.829325	0.276442	33.778111	6.905498	25.451467
3.2	0	6	0.2	0.2	1.906737	0.595855	34.096177	13.849792	26.832567
3.4	0	6	0.2	0.2	1.759917	0.517623	29.626015	0.041340	29.602525
3.6	0	6	0.2	0.2	1.497599	0.416000	28.166041	-2.163660	29.610793

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.456931	27.828793	0.000000	0.000000
0.2	0	6	0.2	0.2	0.133929	0.669643	27.660671	3.704553	0.000000
0.4	0	6	0.2	0.2	0.111121	0.277802	27.411072	2.963611	0.740911
0.6	0	6	0.2	0.2	0.289721	0.482868	27.943352	7.709391	1.333633
0.8	0	6	0.2	0.2	0.286797	0.358496	32.472672	8.488369	2.875511
1.0	0	6	0.2	0.2	0.225882	0.225882	29.037188	5.525981	4.573185
1.2	0	6	0.2	0.2	0.501178	0.417648	32.818982	13.602270	5.678381
1.4	0	6	0.2	0.2	0.515669	0.368335	32.786959	12.576211	8.398835
1.6	0	6	0.2	0.2	0.330297	0.206435	26.434965	5.126499	10.914077
1.8	0	6	0.2	0.2	0.432044	0.240024	26.807355	6.423621	11.939377
2.0	0	6	0.2	0.2	0.490811	0.245405	28.470213	7.482957	13.224101
2.2	0	6	0.2	0.2	0.803209	0.365095	27.979299	10.649430	14.720692
2.4	0	6	0.2	0.2	0.718791	0.299496	33.925190	12.273081	16.850578
2.6	0	6	0.2	0.2	1.483835	0.570706	31.728959	18.434812	19.305194
2.8	0	6	0.2	0.2	1.693435	0.604798	27.682458	7.942719	22.992157
3.0	0	6	0.2	0.2	1.378180	0.459393	29.661438	7.002169	24.580701
3.2	0	6	0.2	0.2	0.825463	0.257957	27.983758	1.653092	25.981134
3.4	0	6	0.2	0.2	1.931170	0.567991	30.309807	7.720921	26.311753
3.6	0	6	0.2	0.2	1.979809	0.549947	32.167060	8.535200	27.855937
3.8	0	6	0.2	0.2	2.016530	0.530666	25.297708	-8.601042	29.562977

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.276985	32.973466	0.000000	0.000000
0.2	0	6	0.2	0.2	0.111168	0.555842	29.278133	3.254802	0.000000
0.4	0	6	0.2	0.2	0.254789	0.636973	28.742685	7.157472	0.650960
0.6	0	6	0.2	0.2	0.372650	0.621083	32.006791	11.151295	2.082455
0.8	0	6	0.2	0.2	0.236306	0.295382	29.313982	5.907947	4.312714
1.0	0	6	0.2	0.2	0.613079	0.613079	28.147795	13.888375	5.494303
1.2	0	6	0.2	0.2	0.758665	0.632221	28.746480	15.533296	8.271978
1.4	0	6	0.2	0.2	0.564782	0.403416	31.002601	11.083259	11.378637
1.6	0	6	0.2	0.2	0.835480	0.522175	31.695182	15.122096	13.595289
1.8	0	6	0.2	0.2	0.531079	0.295044	29.092608	6.624097	16.619708
2.0	0	6	0.2	0.2	0.983165	0.491582	34.271694	16.052292	17.944528
2.2	0	6	0.2	0.2	1.288500	0.585682	30.076062	11.494809	21.154986
2.4	0	6	0.2	0.2	0.687940	0.286641	32.964187	6.542470	23.453948
2.6	0	6	0.2	0.2	1.684612	0.647928	30.051532	8.910064	24.762442
2.8	0	6	0.2	0.2	1.890185	0.675066	30.826851	8.094524	26.544455
3.0	0	6	0.2	0.2	0.804806	0.268269	34.769931	5.317007	28.163359
3.2	0	6	0.2	0.2	0.980013	0.306254	28.650438	-0.564804	29.226761

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.495492	28.267303	0.000000	0.000000
0.2	0	6	0.2	0.2	0.043058	0.215289	32.081241	1.381349	0.000000
0.4	0	6	0.2	0.2	0.121852	0.304631	30.495888	3.682331	0.276270
0.6	0	6	0.2	0.2	0.254762	0.424604	26.177537	6.411044	1.012736
0.8	0	6	0.2	0.2	0.168466	0.210583	25.043986	3.832447	2.294945
1.0	0	6	0.2	0.2	0.571068	0.571068	28.396890	14.468266	3.061434
1.2	0	6	0.2	0.2	0.249861	0.208218	27.459815	5.373195	5.955087
1.4	0	6	0.2	0.2	0.812511	0.580365	30.833554	19.340877	7.029726
1.6	0	6	0.2	0.2	0.661935	0.413709	29.592954	12.374909	10.897902
1.8	0	6	0.2	0.2	1.071898	0.595499	30.742991	18.618985	13.372884
2.0	0	6	0.2	0.2	0.759752	0.379876	29.999511	9.802953	17.096681
2.2	0	6	0.2	0.2	1.147507	0.521594	30.810672	13.487113	19.057271
2.4	0	6	0.2	0.2	0.814070	0.339196	34.265556	10.184722	21.754694
2.6	0	6	0.2	0.2	1.663460	0.639792	30.278824	10.791173	23.791638
2.8	0	6	0.2	0.2	1.550822	0.553865	29.685541	5.793358	25.949873
3.0	0	6	0.2	0.2	1.992446	0.664149	30.255287	6.269714	27.108544
3.2	0	6	0.2	0.2	0.666948	0.208421	33.685325	3.550059	28.362487
3.4	0	6	0.2	0.2	2.279225	0.670360	26.096548	-6.782862	29.072499

Simulation ends at time = 4.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.411382	25.427333	0.000000	0.000000
0.2	0	6	0.2	0.2	0.095118	0.475590	33.909654	3.225415	0.000000
0.4	0	6	0.2	0.2	0.265788	0.664469	27.290903	7.082130	0.645083
0.6	0	6	0.2	0.2	0.349336	0.582227	26.627506	8.581791	2.061509
0.8	0	6	0.2	0.2	0.540190	0.675238	26.777418	12.424138	3.777867
1.0	0	6	0.2	0.2	0.651811	0.651811	34.427962	18.358434	6.262695
1.2	0	6	0.2	0.2	0.461015	0.384179	27.554351	8.123063	9.934381
1.4	0	6	0.2	0.2	0.783172	0.559408	29.807185	14.291464	11.558994
1.6	0	6	0.2	0.2	0.618863	0.386789	32.525760	11.206657	14.417287
1.8	0	6	0.2	0.2	0.997589	0.554216	30.538800	13.846716	16.658618
2.0	0	6	0.2	0.2	0.801527	0.400763	32.097729	10.155155	19.427961
2.2	0	6	0.2	0.2	0.494981	0.224991	30.962158	4.703886	21.458992
2.4	0	6	0.2	0.2	1.028574	0.428573	27.523558	5.270196	22.399770
2.6	0	6	0.2	0.2	0.576495	0.221729	30.480748	4.050997	23.453809
2.8	0	6	0.2	0.2	1.125608	0.402003	33.654958	10.570528	24.264008
3.0	0	6	0.2	0.2	1.418405	0.472802	28.004266	2.306542	26.378114
3.2	0	6	0.2	0.2	0.916629	0.286447	34.015513	6.577812	26.839422
3.4	0	6	0.2	0.2	1.530119	0.450035	29.900364	2.670638	28.154985
3.6	0	6	0.2	0.2	2.197410	0.610392	29.524859	1.836478	28.689112
3.8	0	6	0.2	0.2	2.256876	0.593915	34.329752	11.901285	29.056408
4.0	0	6	0.2	0.2	2.798539	0.699635	32.775550	3.746923	31.436665
4.2	0	6	0.2	0.2	2.776082	0.660972	29.473387	-7.530574	32.186049

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.462532	28.016631	0.000000	0.000000
0.2	0	6	0.2	0.2	0.079187	0.395934	27.874799	2.207316	0.000000
0.4	0	6	0.2	0.2	0.258744	0.646860	34.436612	8.796037	0.441463
0.6	0	6	0.2	0.2	0.314607	0.524345	27.372695	7.919300	2.200671
0.8	0	6	0.2	0.2	0.336224	0.420280	27.835428	8.086486	3.784531
1.0	0	6	0.2	0.2	0.286109	0.286109	26.844449	6.134916	5.401828
1.2	0	6	0.2	0.2	0.435802	0.363168	32.396519	11.229614	6.628811
1.4	0	6	0.2	0.2	0.893790	0.638421	31.750980	20.446558	8.874734
1.6	0	6	0.2	0.2	0.938410	0.586506	33.484076	19.256205	12.964045
1.8	0	6	0.2	0.2	0.858710	0.477061	27.163160	8.885825	16.815287
2.0	0	6	0.2	0.2	0.909490	0.454745	34.721204	14.668932	18.592451
2.2	0	6	0.2	0.2	0.817456	0.371571	32.592946	9.046549	21.526238
2.4	0	6	0.2	0.2	0.605182	0.252159	25.028777	1.024712	23.335548
2.6	0	6	0.2	0.2	1.463386	0.562841	25.453862	2.800002	23.540490
2.8	0	6	0.2	0.2	0.788796	0.281713	25.230856	0.891628	24.100490
3.0	0	6	0.2	0.2	0.678397	0.226132	26.701771	1.643725	24.278816
3.2	0	6	0.2	0.2	1.576132	0.492541	27.410395	4.417635	24.607561
3.4	0	6	0.2	0.2	1.973005	0.580296	32.666797	14.157708	25.491088
3.6	0	6	0.2	0.2	1.633666	0.453796	26.599820	-2.814494	28.322629

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.371100	30.993555	0.000000	0.000000
0.2	0	6	0.2	0.2	0.107808	0.539038	30.424996	3.280043	0.000000
0.4	0	6	0.2	0.2	0.277249	0.693123	30.352602	8.233359	0.656009
0.6	0	6	0.2	0.2	0.260767	0.434611	32.789117	7.949844	2.302680
0.8	0	6	0.2	0.2	0.235041	0.293801	32.004857	6.607509	3.892649
1.0	0	6	0.2	0.2	0.423460	0.423460	28.539499	9.877360	5.214151
1.2	0	6	0.2	0.2	0.380711	0.317259	29.137469	8.355776	7.189623
1.4	0	6	0.2	0.2	0.322836	0.230597	29.032261	6.512083	8.860778
1.6	0	6	0.2	0.2	0.514661	0.321663	30.701091	10.570045	10.163195
1.8	0	6	0.2	0.2	0.637261	0.354034	27.471700	9.682856	12.277204
2.0	0	6	0.2	0.2	1.005971	0.502985	28.713828	14.586632	14.213775
2.2	0	6	0.2	0.2	1.119778	0.508990	33.134064	17.919759	17.131101
2.4	0	6	0.2	0.2	1.113095	0.463790	28.619676	8.798599	20.715053
2.6	0	6	0.2	0.2	1.552756	0.597214	32.598572	15.719786	22.474773
2.8	0	6	0.2	0.2	1.036603	0.370215	26.038239	0.434864	25.618730
3.0	0	6	0.2	0.2	2.073153	0.691051	28.281051	5.339090	25.705703
3.2	0	6	0.2	0.2	0.917405	0.286689	31.989967	4.785593	26.773521
3.4	0	6	0.2	0.2	0.730451	0.214839	25.746362	-1.449418	27.730640

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.371317	29.431497	0.000000	0.000000
0.2	0	6	0.2	0.2	0.085152	0.425760	34.256253	2.916991	0.000000
0.4	0	6	0.2	0.2	0.130756	0.326891	33.246246	4.270879	0.583398
0.6	0	6	0.2	0.2	0.290335	0.483891	34.336137	9.551591	1.437574
0.8	0	6	0.2	0.2	0.400571	0.500714	32.458039	11.660692	3.347892
1.0	0	6	0.2	0.2	0.433541	0.433541	25.642572	8.654588	5.680030
1.2	0	6	0.2	0.2	0.468743	0.390619	33.238797	12.106613	7.410948
1.4	0	6	0.2	0.2	0.744270	0.531621	25.857067	11.926773	9.832271
1.6	0	6	0.2	0.2	0.664939	0.415587	26.434073	9.453075	12.217625
1.8	0	6	0.2	0.2	0.770633	0.428129	30.981934	13.003423	14.108240
2.0	0	6	0.2	0.2	0.786460	0.393230	32.088074	12.095088	16.708925
2.2	0	6	0.2	0.2	1.017278	0.462399	28.578876	9.614230	19.127943
2.4	0	6	0.2	0.2	1.622522	0.676051	27.183787	9.950923	21.050788
2.6	0	6	0.2	0.2	1.457452	0.560558	25.796873	4.016592	23.040973
2.8	0	6	0.2	0.2	1.015804	0.362787	26.691840	2.892553	23.844291
3.0	0	6	0.2	0.2	0.869970	0.289990	26.447621	1.761532	24.422802
3.2	0	6	0.2	0.2	1.538307	0.480721	26.328733	2.389951	24.775108
3.4	0	6	0.2	0.2	0.807828	0.237597	28.853422	2.908443	25.253098
3.6	0	6	0.2	0.2	1.679214	0.466448	25.114857	-1.208916	25.834787

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.603448	32.772377	0.000000	0.000000
0.2	0	6	0.2	0.2	0.119827	0.599136	34.912071	4.183416	0.000000
0.4	0	6	0.2	0.2	0.212284	0.530711	33.778061	6.992937	0.836683
0.6	0	6	0.2	0.2	0.255485	0.425808	32.683600	7.779081	2.235271
0.8	0	6	0.2	0.2	0.185420	0.231775	26.575207	4.224624	3.791087
1.0	0	6	0.2	0.2	0.236184	0.236184	31.487646	6.341924	4.636011
1.2	0	6	0.2	0.2	0.821415	0.684513	27.303211	17.577315	5.904396
1.4	0	6	0.2	0.2	0.299748	0.214106	27.176357	5.322471	9.419859
1.6	0	6	0.2	0.2	0.933473	0.583421	27.577670	15.956157	10.484354
1.8	0	6	0.2	0.2	1.206464	0.670258	27.418734	16.580620	13.675585
2.0	0	6	0.2	0.2	1.381125	0.690563	30.092187	18.093398	16.991709
2.2	0	6	0.2	0.2	0.773957	0.351798	31.824056	8.678892	20.610389
2.4	0	6	0.2	0.2	1.113351	0.463896	31.858636	10.590720	22.346167
2.6	0	6	0.2	0.2	0.845966	0.325371	25.614721	0.973208	24.464311
2.8	0	6	0.2	0.2	1.537741	0.549193	27.639558	4.583400	24.658953
3.0	0	6	0.2	0.2	0.846505	0.282168	33.895127	7.042495	25.575633
3.2	0	6	0.2	0.2	1.558162	0.486926	29.895085	4.535735	26.984132
3.4	0	6	0.2	0.2	1.832355	0.538928	30.706305	5.158125	27.891279
3.6	0	6	0.2	0.2	2.156639	0.599066	25.662839	-7.030784	28.922904

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.310629	32.653970	0.000000	0.000000
0.2	0	6	0.2	0.2	0.056650	0.283250	30.363303	1.720082	0.000000
0.4	0	6	0.2	0.2	0.110215	0.275537	33.188516	3.619953	0.344016
0.6	0	6	0.2	0.2	0.366884	0.611474	30.501037	10.798518	1.068007
0.8	0	6	0.2	0.2	0.200927	0.251159	30.479408	5.475599	3.227711
1.0	0	6	0.2	0.2	0.412043	0.412043	30.438656	10.760844	4.322831
1.2	0	6	0.2	0.2	0.628884	0.524070	27.429651	13.178045	6.474999
1.4	0	6	0.2	0.2	0.539288	0.385205	33.484566	13.144574	9.110608
1.6	0	6	0.2	0.2	0.647277	0.404548	27.730412	10.350542	11.739523
1.8	0	6	0.2	0.2	0.522185	0.290103	27.890561	7.352844	13.809632
2.0	0	6	0.2	0.2	0.645207	0.322603	29.670777	9.284899	15.280200
2.2	0	6	0.2	0.2	1.268735	0.576698	33.347589	20.566716	17.137180
2.4	0	6	0.2	0.2	1.246295	0.519289	29.099526	9.782171	21.250523
2.6	0	6	0.2	0.2	1.346266	0.517794	29.914453	9.030071	23.206957
2.8	0	6	0.2	0.2	1.570068	0.560739	31.850074	10.734716	25.012972
3.0	0	6	0.2	0.2	1.610791	0.536930	33.965003	10.961578	27.159915
3.2	0	6	0.2	0.2	1.037809	0.324315	31.238880	1.957981	29.352230
3.4	0	6	0.2	0.2	1.402503	0.412501	27.113014	-3.689722	29.743827

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.293692	28.674762	0.000000	0.000000
0.2	0	6	0.2	0.2	0.041489	0.207447	30.683511	1.273041	0.000000
0.4	0	6	0.2	0.2	0.239136	0.597841	34.892956	8.283283	0.254608
0.6	0	6	0.2	0.2	0.316554	0.527590	32.147374	9.571360	1.911265
0.8	0	6	0.2	0.2	0.382679	0.478348	25.545993	8.311954	3.825537
1.0	0	6	0.2	0.2	0.362298	0.362298	25.814674	7.364343	5.487928
1.2	0	6	0.2	0.2	0.837399	0.697832	32.604819	21.474269	6.960796
1.4	0	6	0.2	0.2	0.737281	0.526629	31.210553	14.712371	11.255650
1.6	0	6	0.2	0.2	0.544491	0.340307	31.738109	9.550365	14.198124
1.8	0	6	0.2	0.2	0.846894	0.470496	25.625264	8.059943	16.108197
2.0	0	6	0.2	0.2	0.660817	0.330409	30.409234	8.385144	17.720186
2.2	0	6	0.2	0.2	0.918335	0.417425	32.412574	11.952456	19.397214
2.4	0	6	0.2	0.2	1.075861	0.448275	27.106191	5.721952	21.787706
2.6	0	6	0.2	0.2	0.976205	0.375463	30.306721	7.199147	22.932096
2.8	0	6	0.2	0.2	1.765190	0.630425	27.998532	6.401651	24.371925
3.0	0	6	0.2	0.2	1.134270	0.378090	33.603517	9.018881	25.652256
3.2	0	6	0.2	0.2	1.272132	0.397541	25.401155	-2.614075	27.456032

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.511264	31.964996	0.000000	0.000000
0.2	0	6	0.2	0.2	0.082026	0.410131	27.401464	2.247639	0.000000
0.4	0	6	0.2	0.2	0.251437	0.628592	25.733458	6.357312	0.449528
0.6	0	6	0.2	0.2	0.348758	0.581264	25.558603	8.313568	1.720990
0.8	0	6	0.2	0.2	0.541725	0.677156	31.935694	15.467322	3.383704
1.0	0	6	0.2	0.2	0.226753	0.226753	30.438676	5.433355	6.477168
1.2	0	6	0.2	0.2	0.371629	0.309691	30.981514	8.702684	7.563839
1.4	0	6	0.2	0.2	0.491105	0.350789	32.722817	11.500920	9.304376
1.6	0	6	0.2	0.2	0.914119	0.571324	32.210703	18.836457	11.604560
1.8	0	6	0.2	0.2	0.409100	0.227278	34.732542	7.920451	15.371851
2.0	0	6	0.2	0.2	0.875435	0.437718	28.670793	10.255593	16.955942
2.2	0	6	0.2	0.2	1.249005	0.567729	34.672707	19.566468	19.007060
2.4	0	6	0.2	0.2	0.512210	0.213421	33.121023	5.224885	22.920354
2.6	0	6	0.2	0.2	0.880573	0.338682	27.232590	2.877060	23.965331
2.8	0	6	0.2	0.2	1.606119	0.573614	34.720948	16.350626	24.540743
3.0	0	6	0.2	0.2	1.855639	0.618546	26.821343	-1.836201	27.810868

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.220447	29.307674	0.000000	0.000000
0.2	0	6	0.2	0.2	0.079796	0.398981	34.650644	2.764988	0.000000
0.4	0	6	0.2	0.2	0.158120	0.395300	30.589853	4.749429	0.552998
0.6	0	6	0.2	0.2	0.259263	0.432105	28.534714	7.008349	1.502883
0.8	0	6	0.2	0.2	0.515207	0.644009	28.591775	13.234232	2.904553
1.0	0	6	0.2	0.2	0.608752	0.608752	34.403355	17.563699	5.551400
1.2	0	6	0.2	0.2	0.632599	0.527165	28.551634	12.327760	9.064139
1.4	0	6	0.2	0.2	0.646521	0.461800	34.806253	15.048776	11.529691
1.6	0	6	0.2	0.2	0.359790	0.224869	33.851980	6.948461	14.539447
1.8	0	6	0.2	0.2	0.973561	0.540867	33.307398	16.918794	15.929139
2.0	0	6	0.2	0.2	1.374812	0.687406	29.812937	14.435581	19.312898
2.2	0	6	0.2	0.2	1.147703	0.521683	25.603180	3.905824	22.200014
2.4	0	6	0.2	0.2	1.001405	0.417252	27.902458	4.928191	22.981179
2.6	0	6	0.2	0.2	0.571043	0.219632	31.916308	4.539498	23.966817
2.8	0	6	0.2	0.2	1.158857	0.413877	34.408794	11.048630	24.874717
3.0	0	6	0.2	0.2	1.305317	0.435106	33.125788	7.885868	27.084443
3.2	0	6	0.2	0.2	2.194470	0.685772	32.793748	9.067840	28.661616
3.4	0	6	0.2	0.2	1.145607	0.336943	33.273613	3.205901	30.475184
3.6	0	6	0.2	0.2	2.373395	0.659276	26.109099	-11.884220	31.116364

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.248701	31.545628	0.000000	0.000000
0.2	0	6	0.2	0.2	0.109077	0.545386	32.068622	3.497958	0.000000
0.4	0	6	0.2	0.2	0.271267	0.678168	29.322030	7.764328	0.699592
0.6	0	6	0.2	0.2	0.335771	0.559619	25.885212	7.935201	2.252457
0.8	0	6	0.2	0.2	0.368427	0.460534	34.462940	11.282501	3.839497
1.0	0	6	0.2	0.2	0.603189	0.603189	34.512880	17.140758	6.095998
1.2	0	6	0.2	0.2	0.774826	0.645688	27.825258	14.180175	9.524149
1.4	0	6	0.2	0.2	0.848730	0.606236	32.066674	16.725492	12.360184
1.6	0	6	0.2	0.2	0.665505	0.415941	26.388071	7.109447	15.705283
1.8	0	6	0.2	0.2	0.623419	0.346344	27.310479	6.348470	17.127172
2.0	0	6	0.2	0.2	0.695786	0.347893	33.607513	10.583348	18.396866
2.2	0	6	0.2	0.2	0.694761	0.315800	27.746808	5.025393	20.513536
2.4	0	6	0.2	0.2	0.492937	0.205391	29.290243	3.830925	21.518614
2.6	0	6	0.2	0.2	1.009941	0.388439	25.296563	3.041703	22.284799
2.8	0	6	0.2	0.2	1.799657	0.642735	29.462201	11.822055	22.893140
3.0	0	6	0.2	0.2	0.847865	0.282622	25.656563	0.338308	25.257551
3.2	0	6	0.2	0.2	1.794117	0.560662	33.147792	14.034622	25.325213
3.4	0	6	0.2	0.2	1.388387	0.408349	26.879230	-1.739520	28.132137

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.299624	26.579990	0.000000	0.000000
0.2	0	6	0.2	0.2	0.113631	0.568155	26.562103	3.018279	0.000000
0.4	0	6	0.2	0.2	0.194765	0.486912	34.048861	6.513943	0.603656
0.6	0	6	0.2	0.2	0.375933	0.626556	30.723388	10.833250	1.906444
0.8	0	6	0.2	0.2	0.531189	0.663987	30.158350	13.856210	4.073094
1.0	0	6	0.2	0.2	0.297832	0.297832	25.004753	5.408752	6.844336
1.2	0	6	0.2	0.2	0.695063	0.579219	26.285407	12.760884	7.926087
1.4	0	6	0.2	0.2	0.465752	0.332680	30.499403	9.324892	10.478264
1.6	0	6	0.2	0.2	0.899762	0.562351	32.064420	17.744356	12.343242
1.8	0	6	0.2	0.2	0.626975	0.348320	25.091051	5.767508	15.892113
2.0	0	6	0.2	0.2	1.195300	0.597650	27.015213	11.916661	17.045615
2.2	0	6	0.2	0.2	1.123774	0.510806	30.674423	12.637372	19.428947
2.4	0	6	0.2	0.2	0.948491	0.395205	34.449523	11.849600	21.956422
2.6	0	6	0.2	0.2	0.903309	0.347427	32.262840	7.169112	24.326342
2.8	0	6	0.2	0.2	1.100893	0.393176	32.227811	7.120190	25.760164
3.0	0	6	0.2	0.2	1.796355	0.598785	34.746291	13.584194	27.184202
3.2	0	6	0.2	0.2	2.165668	0.676771	27.445114	-5.318720	29.901041

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.554121	31.608663	0.000000	0.000000
0.2	0	6	0.2	0.2	0.052379	0.261896	31.425168	1.646024	0.000000
0.4	0	6	0.2	0.2	0.097665	0.244163	28.874613	2.787894	0.329205
0.6	0	6	0.2	0.2	0.242665	0.404442	27.480224	6.453309	0.886784
0.8	0	6	0.2	0.2	0.444266	0.555333	26.426158	10.772890	2.177445
1.0	0	6	0.2	0.2	0.312581	0.312581	31.424703	8.468652	4.332023
1.2	0	6	0.2	0.2	0.646226	0.538522	28.227871	14.347592	6.025754
1.4	0	6	0.2	0.2	0.931839	0.665599	29.360181	19.070004	8.895272
1.6	0	6	0.2	0.2	0.373883	0.233677	29.352536	6.222629	12.709273
1.8	0	6	0.2	0.2	0.778647	0.432582	30.838707	13.147390	13.953799
2.0	0	6	0.2	0.2	1.030707	0.515354	33.311220	17.241614	16.583277
2.2	0	6	0.2	0.2	1.246546	0.566612	31.031409	13.711773	20.031600
2.4	0	6	0.2	0.2	0.880576	0.366907	33.135687	9.124297	22.773954
2.6	0	6	0.2	0.2	1.132135	0.435437	31.582596	7.906588	24.598813
2.8	0	6	0.2	0.2	0.658966	0.235345	32.619265	4.243168	26.180131
3.0	0	6	0.2	0.2	0.663123	0.221041	28.953371	1.276250	27.028765
3.2	0	6	0.2	0.2	1.061077	0.331586	27.625736	0.362593	27.284015
3.4	0	6	0.2	0.2	1.657942	0.487630	26.324330	-1.711334	27.356533

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.490913	25.294223	0.000000	0.000000
0.2	0	6	0.2	0.2	0.109853	0.549263	33.668260	3.698546	0.000000
0.4	0	6	0.2	0.2	0.218958	0.547394	30.114097	6.431750	0.739709
0.6	0	6	0.2	0.2	0.392490	0.654150	29.454591	10.765431	2.026059
0.8	0	6	0.2	0.2	0.239432	0.299290	28.797925	5.894533	4.179145
1.0	0	6	0.2	0.2	0.254642	0.254642	26.320010	5.337800	5.358052
1.2	0	6	0.2	0.2	0.546090	0.455075	34.897265	15.548073	6.425612
1.4	0	6	0.2	0.2	0.441689	0.315492	31.872506	9.866125	9.535227
1.6	0	6	0.2	0.2	0.468367	0.292729	30.085457	8.700850	11.508452
1.8	0	6	0.2	0.2	0.612434	0.340241	25.971938	7.792196	13.248622
2.0	0	6	0.2	0.2	1.078056	0.539028	26.062031	12.133484	14.807061
2.2	0	6	0.2	0.2	1.290982	0.586810	27.494147	13.245977	17.233758
2.4	0	6	0.2	0.2	1.583936	0.659973	28.274257	13.291288	19.882953
2.6	0	6	0.2	0.2	1.773640	0.682169	25.327667	4.942172	22.541211
2.8	0	6	0.2	0.2	0.652654	0.233091	30.100529	4.288510	23.529645
3.0	0	6	0.2	0.2	1.796281	0.598760	26.415482	3.643100	24.387347
3.2	0	6	0.2	0.2	0.853050	0.266578	29.317361	3.583998	25.115967
3.4	0	6	0.2	0.2	0.870925	0.256154	33.743282	6.889463	25.832767
3.6	0	6	0.2	0.2	1.404401	0.390111	34.919456	10.826244	27.210659
3.8	0	6	0.2	0.2	1.143221	0.300848	25.535113	-4.390878	29.375908

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.425162	28.493917	0.000000	0.000000
0.2	0	6	0.2	0.2	0.045889	0.229444	25.148841	1.154049	0.000000
0.4	0	6	0.2	0.2	0.090423	0.226058	31.913421	2.864840	0.230810
0.6	0	6	0.2	0.2	0.288180	0.480301	31.776910	8.925850	0.803778
0.8	0	6	0.2	0.2	0.212556	0.265695	32.830203	6.427971	2.588948
1.0	0	6	0.2	0.2	0.608090	0.608090	32.190157	17.218437	3.874542
1.2	0	6	0.2	0.2	0.429151	0.357626	28.335962	9.019787	7.318229
1.4	0	6	0.2	0.2	0.844031	0.602879	33.028464	20.177635	9.122187
1.6	0	6	0.2	0.2	0.381739	0.238587	32.905235	7.538394	13.157714
1.8	0	6	0.2	0.2	0.535668	0.297593	26.622884	6.405241	14.665392
2.0	0	6	0.2	0.2	1.034524	0.517262	31.087856	15.664161	15.946441
2.2	0	6	0.2	0.2	1.238262	0.562846	31.135410	14.928658	19.079273
2.4	0	6	0.2	0.2	1.413570	0.588987	31.542196	13.396671	22.065005
2.6	0	6	0.2	0.2	0.733742	0.282208	26.688337	1.426393	24.744339
2.8	0	6	0.2	0.2	0.697680	0.249171	30.022192	3.483220	25.029617
3.0	0	6	0.2	0.2	0.815527	0.271842	30.012340	3.495412	25.726261
3.2	0	6	0.2	0.2	0.746369	0.233240	26.376009	-0.036822	26.425344

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.465948	25.659207	0.000000	0.000000
0.2	0	6	0.2	0.2	0.081311	0.406556	30.770608	2.501996	0.000000
0.4	0	6	0.2	0.2	0.256318	0.640794	28.028678	7.055984	0.500399
0.6	0	6	0.2	0.2	0.129782	0.216304	32.081434	3.915505	1.911596
0.8	0	6	0.2	0.2	0.452929	0.566161	28.244255	11.572138	2.694697
1.0	0	6	0.2	0.2	0.417974	0.417974	28.618992	9.868317	5.009125
1.2	0	6	0.2	0.2	0.492688	0.410574	25.474532	9.110665	6.982788
1.4	0	6	0.2	0.2	0.763798	0.545570	26.501900	13.516917	8.804921
1.6	0	6	0.2	0.2	0.500644	0.312902	31.454902	9.986141	11.508305
1.8	0	6	0.2	0.2	0.625889	0.347716	31.028224	10.967255	13.505533
2.0	0	6	0.2	0.2	1.008442	0.504221	30.505594	14.931608	15.698984
2.2	0	6	0.2	0.2	0.507150	0.230523	25.843293	3.630175	18.685306
2.4	0	6	0.2	0.2	1.176259	0.490108	30.717299	13.298733	19.411341
2.6	0	6	0.2	0.2	0.922999	0.355000	28.768953	6.182123	22.071087
2.8	0	6	0.2	0.2	0.653829	0.233510	25.864093	1.671566	23.307512
3.0	0	6	0.2	0.2	1.530970	0.510323	28.295651	7.124866	23.641825
3.2	0	6	0.2	0.2	1.366158	0.426925	34.718820	13.186190	25.066798
3.4	0	6	0.2	0.2	1.912799	0.562588	32.214704	8.628002	27.704036
3.6	0	6	0.2	0.2	1.681919	0.467200	29.570631	0.237141	29.429637
3.8	0	6	0.2	0.2	1.874763	0.493359	27.217129	-4.236846	29.477065

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.438738	30.917498	0.000000	0.000000
0.2	0	6	0.2	0.2	0.083880	0.419401	26.317302	2.207503	0.000000
0.4	0	6	0.2	0.2	0.239238	0.598096	25.425703	5.977177	0.441501
0.6	0	6	0.2	0.2	0.171947	0.286578	25.549761	4.111733	1.636936
0.8	0	6	0.2	0.2	0.546584	0.683230	30.229364	15.178676	2.459283
1.0	0	6	0.2	0.2	0.654876	0.654876	30.102153	16.114613	5.495018
1.2	0	6	0.2	0.2	0.241080	0.200900	25.048722	3.937029	8.717940
1.4	0	6	0.2	0.2	0.615639	0.439742	31.306363	13.421557	9.505346
1.6	0	6	0.2	0.2	0.665796	0.416122	26.590807	9.588221	12.189657
1.8	0	6	0.2	0.2	1.184543	0.658079	29.141455	17.808596	14.107302
2.0	0	6	0.2	0.2	1.010071	0.505035	27.599144	10.030129	17.669021
2.2	0	6	0.2	0.2	1.060436	0.482016	32.700222	13.812366	19.675047
2.4	0	6	0.2	0.2	1.660997	0.692082	31.349988	14.803588	22.437520
2.6	0	6	0.2	0.2	1.293898	0.497653	31.837441	8.331672	25.398237
2.8	0	6	0.2	0.2	1.690554	0.603769	27.429580	0.617067	27.064572
3.0	0	6	0.2	0.2	1.879982	0.626661	30.200124	5.662766	27.187985
3.2	0	6	0.2	0.2	1.537467	0.480459	25.266800	-4.695024	28.320539

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.433047	34.691105	0.000000	0.000000
0.2	0	6	0.2	0.2	0.072535	0.362676	27.569725	1.999776	0.000000
0.4	0	6	0.2	0.2	0.230228	0.575571	33.962358	7.727013	0.399955
0.6	0	6	0.2	0.2	0.280175	0.466959	26.298673	6.823200	1.945358
0.8	0	6	0.2	0.2	0.246820	0.308526	32.674619	7.247788	3.309998
1.0	0	6	0.2	0.2	0.322037	0.322037	32.106212	8.806642	4.759555
1.2	0	6	0.2	0.2	0.489594	0.407995	25.146748	9.119104	6.520884
1.4	0	6	0.2	0.2	0.813553	0.581109	34.435653	21.226360	8.344705
1.6	0	6	0.2	0.2	0.930081	0.581301	29.482036	15.710984	12.589977
1.8	0	6	0.2	0.2	0.740061	0.411145	32.988400	12.770667	15.732173
2.0	0	6	0.2	0.2	0.922956	0.461478	25.129833	6.316271	18.286307
2.2	0	6	0.2	0.2	1.498836	0.681289	33.824868	21.396351	19.549561
2.4	0	6	0.2	0.2	0.964167	0.401736	27.470579	3.511252	23.828831
2.6	0	6	0.2	0.2	1.364679	0.524876	29.621921	6.947360	24.531081
2.8	0	6	0.2	0.2	0.880315	0.314398	33.486615	6.660515	25.920553
3.0	0	6	0.2	0.2	0.981990	0.327330	25.261697	-1.955102	27.252656

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.527706	25.797870	0.000000	0.000000
0.2	0	6	0.2	0.2	0.126517	0.632583	31.394379	3.971908	0.000000
0.4	0	6	0.2	0.2	0.136265	0.340663	28.469498	3.771158	0.794382
0.6	0	6	0.2	0.2	0.131537	0.219229	30.031506	3.746557	1.548613
0.8	0	6	0.2	0.2	0.183733	0.229666	28.462241	4.807241	2.297925
1.0	0	6	0.2	0.2	0.452402	0.452402	33.527201	13.693238	3.259373
1.2	0	6	0.2	0.2	0.831958	0.693298	27.481341	17.873211	5.998020
1.4	0	6	0.2	0.2	0.684371	0.488837	30.017246	13.991685	9.572662
1.6	0	6	0.2	0.2	1.110308	0.693943	25.054458	14.082545	12.371000
1.8	0	6	0.2	0.2	0.871837	0.484354	31.881526	14.554460	15.187509
2.0	0	6	0.2	0.2	0.583534	0.291767	25.555704	4.351592	18.098401
2.2	0	6	0.2	0.2	0.887960	0.403618	34.627098	13.904009	18.968719
2.4	0	6	0.2	0.2	1.266111	0.527546	28.329249	8.330667	21.749521
2.6	0	6	0.2	0.2	1.791177	0.688914	33.749383	18.509542	23.415654
2.8	0	6	0.2	0.2	1.652381	0.590136	34.609301	12.379202	27.117563
3.0	0	6	0.2	0.2	1.261242	0.420414	26.141358	-4.353863	29.593403

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.655211	32.898504	0.000000	0.000000
0.2	0	6	0.2	0.2	0.087284	0.436419	30.723736	2.681684	0.000000
0.4	0	6	0.2	0.2	0.236228	0.590570	25.615896	5.924496	0.536337
0.6	0	6	0.2	0.2	0.210496	0.350826	30.749887	6.110405	1.721236
0.8	0	6	0.2	0.2	0.432104	0.540130	31.748091	12.446661	2.943317
1.0	0	6	0.2	0.2	0.208325	0.208325	31.038549	5.334337	5.432649
1.2	0	6	0.2	0.2	0.457419	0.381182	28.973322	10.279940	6.499517
1.4	0	6	0.2	0.2	0.332149	0.237249	33.759037	8.371326	8.555505
1.6	0	6	0.2	0.2	1.059446	0.662154	32.922370	24.041590	10.229770
1.8	0	6	0.2	0.2	0.906828	0.503793	32.434406	15.775464	15.038088
2.0	0	6	0.2	0.2	0.898664	0.449332	34.213840	14.397189	18.193180
2.2	0	6	0.2	0.2	1.211140	0.550518	29.484714	10.188225	21.072618
2.4	0	6	0.2	0.2	1.135192	0.472997	29.780894	7.572446	23.110263
2.6	0	6	0.2	0.2	1.674492	0.644035	29.318378	7.859439	24.624752
2.8	0	6	0.2	0.2	1.580185	0.564352	28.229853	3.212853	26.196640
3.0	0	6	0.2	0.2	1.204484	0.401495	27.769426	1.120429	26.839211
3.2	0	6	0.2	0.2	0.652981	0.204057	30.380286	2.165932	27.063297
3.4	0	6	0.2	0.2	1.514668	0.445491	29.789408	3.473021	27.496483
3.6	0	6	0.2	0.2	2.494851	0.693014	26.199890	-4.967741	28.191087

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.249008	32.107471	0.000000	0.000000
0.2	0	6	0.2	0.2	0.092481	0.462403	30.195449	2.792495	0.000000
0.4	0	6	0.2	0.2	0.177854	0.444636	30.415005	5.310107	0.558499
0.6	0	6	0.2	0.2	0.316864	0.528107	29.887771	8.956879	1.620520
0.8	0	6	0.2	0.2	0.212824	0.266030	32.989886	6.294906	3.411896
1.0	0	6	0.2	0.2	0.352769	0.352769	33.206884	10.066616	4.670877
1.2	0	6	0.2	0.2	0.646498	0.538748	26.079749	12.539176	6.684201
1.4	0	6	0.2	0.2	0.390459	0.278899	33.427833	9.463080	9.192036
1.6	0	6	0.2	0.2	0.864868	0.540543	27.743559	14.407763	11.084652
1.8	0	6	0.2	0.2	0.726434	0.403574	25.194922	8.156918	13.966204
2.0	0	6	0.2	0.2	0.973963	0.486981	29.504780	13.545087	15.597588
2.2	0	6	0.2	0.2	1.501222	0.682374	27.505535	13.809637	18.306605
2.4	0	6	0.2	0.2	1.042474	0.434364	31.833329	11.222019	21.068533
2.6	0	6	0.2	0.2	0.737079	0.283492	31.767447	6.231640	23.312937
2.8	0	6	0.2	0.2	1.383558	0.494128	33.924062	12.956744	24.559265
3.0	0	6	0.2	0.2	0.849069	0.283023	33.509111	5.398802	27.150613
3.2	0	6	0.2	0.2	1.422252	0.444454	26.116000	-3.007173	28.230374

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.512927	31.434232	0.000000	0.000000
0.2	0	6	0.2	0.2	0.093634	0.468171	27.722651	2.595786	0.000000
0.4	0	6	0.2	0.2	0.105433	0.263581	32.083863	3.327948	0.519157
0.6	0	6	0.2	0.2	0.122248	0.203746	27.294702	3.191885	1.184747
0.8	0	6	0.2	0.2	0.233464	0.291830	29.828332	6.538213	1.823124
1.0	0	6	0.2	0.2	0.655937	0.655937	34.207750	20.384555	3.130766
1.2	0	6	0.2	0.2	0.726979	0.605816	29.845692	16.457360	7.207677
1.4	0	6	0.2	0.2	0.383644	0.274031	30.453990	7.655552	10.499149
1.6	0	6	0.2	0.2	1.098978	0.686862	30.750966	20.573652	12.030260
1.8	0	6	0.2	0.2	0.802601	0.445889	33.804741	14.173733	16.144990
2.0	0	6	0.2	0.2	1.236986	0.618493	31.204565	15.121936	18.979737
2.2	0	6	0.2	0.2	0.723914	0.329052	29.295446	5.278291	22.004124
2.4	0	6	0.2	0.2	1.192210	0.496754	33.149610	12.029197	23.059782
2.6	0	6	0.2	0.2	1.121456	0.431329	30.471003	5.613313	25.465621
2.8	0	6	0.2	0.2	1.101164	0.393273	27.427923	0.924580	26.588284
3.0	0	6	0.2	0.2	1.030842	0.343614	26.578468	-0.200739	26.773200

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.687317	34.448499	0.000000	0.000000
0.2	0	6	0.2	0.2	0.086198	0.430989	26.324677	2.269131	0.000000
0.4	0	6	0.2	0.2	0.194794	0.486986	31.863109	6.118355	0.453826
0.6	0	6	0.2	0.2	0.230895	0.384824	32.257272	7.060705	1.677497
0.8	0	6	0.2	0.2	0.472508	0.590635	33.352957	14.299662	3.089638
1.0	0	6	0.2	0.2	0.670562	0.670562	27.708550	14.590747	5.949570
1.2	0	6	0.2	0.2	0.636126	0.530105	28.340945	12.387426	8.867720
1.4	0	6	0.2	0.2	0.558635	0.399025	25.924242	8.144363	11.345205
1.6	0	6	0.2	0.2	0.322487	0.201554	33.606297	6.653623	12.974078
1.8	0	6	0.2	0.2	0.869360	0.482978	34.883624	17.890414	14.304802
2.0	0	6	0.2	0.2	1.155367	0.577683	25.922800	9.289052	17.882885
2.2	0	6	0.2	0.2	0.656634	0.298470	28.468510	5.730981	19.740696
2.4	0	6	0.2	0.2	1.505507	0.627294	32.012594	16.749821	20.886892
2.6	0	6	0.2	0.2	0.579409	0.222850	31.594985	4.263364	24.236856
2.8	0	6	0.2	0.2	1.789983	0.639280	27.678540	4.634286	25.089529
3.0	0	6	0.2	0.2	1.330974	0.443658	34.513813	11.309855	26.016386
3.2	0	6	0.2	0.2	1.335446	0.417327	25.718639	-3.418365	28.278357

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.417030	25.817605	0.000000	0.000000
0.2	0	6	0.2	0.2	0.121837	0.609187	28.905989	3.521829	0.000000
0.4	0	6	0.2	0.2	0.279982	0.699955	29.663775	8.108109	0.704366
0.6	0	6	0.2	0.2	0.399072	0.665120	33.833130	12.573618	2.325988
0.8	0	6	0.2	0.2	0.520716	0.650895	27.696643	11.901443	4.840711
1.0	0	6	0.2	0.2	0.380526	0.380526	32.271724	9.532448	7.221000
1.2	0	6	0.2	0.2	0.753325	0.627771	32.047039	17.265862	9.127490
1.4	0	6	0.2	0.2	0.925780	0.661271	25.090283	11.581157	12.580662
1.6	0	6	0.2	0.2	0.682599	0.426624	31.164998	11.104591	14.896893
1.8	0	6	0.2	0.2	0.838639	0.465910	27.408910	8.630516	17.117811
2.0	0	6	0.2	0.2	0.663999	0.331999	25.990878	4.745573	18.843915
2.2	0	6	0.2	0.2	1.313761	0.597164	31.897718	15.902673	19.793029
2.4	0	6	0.2	0.2	0.815669	0.339862	26.636388	2.987653	22.973564
2.6	0	6	0.2	0.2	1.351788	0.519918	26.912890	4.517397	23.571095
2.8	0	6	0.2	0.2	1.695888	0.605674	26.923680	4.153409	24.474574
3.0	0	6	0.2	0.2	1.490147	0.496716	34.596854	13.845846	25.305256
3.2	0	6	0.2	0.2	1.621551	0.506735	27.922098	-0.247006	28.074425

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.494898	33.573087	0.000000	0.000000
0.2	0	6	0.2	0.2	0.081049	0.405246	26.045594	2.110975	0.000000
0.4	0	6	0.2	0.2	0.135692	0.339229	33.747191	4.521924	0.422195
0.6	0	6	0.2	0.2	0.305758	0.509597	26.945904	7.833325	1.326580
0.8	0	6	0.2	0.2	0.535326	0.669157	25.583395	12.146621	2.893245
1.0	0	6	0.2	0.2	0.333535	0.333535	34.378092	9.691040	5.322569
1.2	0	6	0.2	0.2	0.519364	0.432803	33.435242	13.594069	7.260777
1.4	0	6	0.2	0.2	0.737196	0.526568	31.790568	16.078954	9.979591
1.6	0	6	0.2	0.2	0.835237	0.522023	31.579873	15.355404	13.195382
1.8	0	6	0.2	0.2	1.095671	0.608706	29.244233	14.219368	16.266463
2.0	0	6	0.2	0.2	1.190962	0.595481	27.270170	9.718049	19.110336
2.2	0	6	0.2	0.2	1.102253	0.501024	34.736851	15.082019	21.053946
2.4	0	6	0.2	0.2	1.609052	0.670438	31.323124	11.670088	24.070350
2.6	0	6	0.2	0.2	1.356605	0.521771	27.357974	1.293667	26.404367
2.8	0	6	0.2	0.2	1.129450	0.403375	27.800522	1.284661	26.663101
3.0	0	6	0.2	0.2	1.877733	0.625911	32.080149	9.689322	26.920033
3.2	0	6	0.2	0.2	0.766177	0.239430	26.002231	-2.187946	28.857897

Simulation ends at time = 4.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.533207	33.362003	0.000000	0.000000
0.2	0	6	0.2	0.2	0.040107	0.200537	28.204557	1.131214	0.000000
0.4	0	6	0.2	0.2	0.177118	0.442796	31.957880	5.620252	0.226243
0.6	0	6	0.2	0.2	0.153239	0.255399	30.143083	4.412183	1.350293
0.8	0	6	0.2	0.2	0.267901	0.334877	29.957913	7.427612	2.232730
1.0	0	6	0.2	0.2	0.250940	0.250940	25.388011	5.437813	3.718252
1.2	0	6	0.2	0.2	0.765637	0.638030	25.911556	16.159328	4.805815
1.4	0	6	0.2	0.2	0.389435	0.278168	25.473010	6.789932	8.037680
1.6	0	6	0.2	0.2	0.651582	0.407239	33.582223	15.759522	9.395667
1.8	0	6	0.2	0.2	1.201066	0.667259	32.671331	24.169965	12.547571
2.0	0	6	0.2	0.2	0.587920	0.293960	28.828943	6.730139	17.381564
2.2	0	6	0.2	0.2	0.876323	0.398329	26.788865	7.064277	18.727592
2.4	0	6	0.2	0.2	1.293580	0.538992	29.112709	11.606336	20.140447
2.6	0	6	0.2	0.2	0.642699	0.247192	32.495218	6.448520	22.461715
2.8	0	6	0.2	0.2	1.356156	0.484342	30.145270	8.671063	23.751418
3.0	0	6	0.2	0.2	1.226606	0.408869	26.012508	0.646271	25.485631
3.2	0	6	0.2	0.2	1.113017	0.347818	26.283171	0.743814	25.614885
3.4	0	6	0.2	0.2	2.177993	0.640586	29.655966	8.477442	25.763648
3.6	0	6	0.2	0.2	0.955112	0.265309	32.756777	5.059840	27.459136
3.8	0	6	0.2	0.2	2.270473	0.597493	33.527169	11.479660	28.471104
4.0	0	6	0.2	0.2	1.526298	0.381575	27.870278	-4.421318	30.767036

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.693544	28.507002	0.000000	0.000000
0.2	0	6	0.2	0.2	0.109206	0.546032	28.553928	3.118274	0.000000
0.4	0	6	0.2	0.2	0.168912	0.422279	25.057983	4.127241	0.623655
0.6	0	6	0.2	0.2	0.319928	0.533213	26.570456	8.037012	1.449103
0.8	0	6	0.2	0.2	0.412615	0.515769	31.075884	11.561225	3.056505
1.0	0	6	0.2	0.2	0.250782	0.250782	27.861974	5.640902	5.368750
1.2	0	6	0.2	0.2	0.717108	0.597590	30.351525	17.106309	6.496931
1.4	0	6	0.2	0.2	0.667736	0.476955	28.567916	12.453100	9.918193
1.6	0	6	0.2	0.2	0.879591	0.549744	30.016515	15.487571	12.408813
1.8	0	6	0.2	0.2	0.849431	0.471906	34.426764	16.071606	15.506327
2.0	0	6	0.2	0.2	1.133612	0.566806	26.083541	8.346667	18.720648
2.2	0	6	0.2	0.2	1.442403	0.655638	29.819315	13.600899	20.389981
2.4	0	6	0.2	0.2	1.652538	0.688557	25.567074	4.060141	23.110161
2.6	0	6	0.2	0.2	0.656791	0.252612	29.578880	3.715266	23.922189
2.8	0	6	0.2	0.2	1.057876	0.377813	33.523101	9.370512	24.665243
3.0	0	6	0.2	0.2	0.875237	0.291746	27.106274	0.496197	26.539345
3.2	0	6	0.2	0.2	1.525011	0.476566	31.854703	7.954637	26.638584
3.4	0	6	0.2	0.2	1.438184	0.422995	27.539342	-0.992590	28.229512

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.434783	32.242919	0.000000	0.000000
0.2	0	6	0.2	0.2	0.067419	0.337095	31.476006	2.122081	0.000000
0.4	0	6	0.2	0.2	0.160325	0.400811	26.825975	4.232819	0.424416
0.6	0	6	0.2	0.2	0.259598	0.432664	33.987531	8.493161	1.270980
0.8	0	6	0.2	0.2	0.528073	0.660091	26.626976	12.492816	2.969612
1.0	0	6	0.2	0.2	0.495939	0.495939	31.595236	12.957434	5.468175
1.2	0	6	0.2	0.2	0.839433	0.699528	31.014840	19.269337	8.059662
1.4	0	6	0.2	0.2	0.604037	0.431455	25.651478	8.298227	11.913529
1.6	0	6	0.2	0.2	0.946598	0.591624	27.514349	13.196688	13.573175
1.8	0	6	0.2	0.2	1.117880	0.621045	27.188249	12.269561	16.212512
2.0	0	6	0.2	0.2	0.445941	0.222970	29.118891	4.661180	18.666425
2.2	0	6	0.2	0.2	0.768220	0.349191	28.288131	6.675425	19.598661
2.4	0	6	0.2	0.2	0.620137	0.258391	32.054983	6.896695	20.933746
2.6	0	6	0.2	0.2	0.894074	0.343875	28.180968	5.246324	22.313085
2.8	0	6	0.2	0.2	0.863866	0.308524	33.774626	8.994815	23.362349
3.0	0	6	0.2	0.2	1.387831	0.462610	33.059046	10.960722	25.161312
3.2	0	6	0.2	0.2	1.340868	0.419021	33.759996	8.590324	27.353457
3.4	0	6	0.2	0.2	0.903459	0.265723	25.816014	-2.941216	29.071522

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.364983	32.749947	0.000000	0.000000
0.2	0	6	0.2	0.2	0.066594	0.332970	27.926630	1.859745	0.000000
0.4	0	6	0.2	0.2	0.092571	0.231428	30.745050	2.811674	0.371949
0.6	0	6	0.2	0.2	0.152389	0.253981	27.623315	4.067110	0.934284
0.8	0	6	0.2	0.2	0.439091	0.548864	32.099542	13.327224	1.747706
1.0	0	6	0.2	0.2	0.294113	0.294113	33.893097	8.670443	4.413151
1.2	0	6	0.2	0.2	0.337226	0.281022	27.736968	7.280618	6.147239
1.4	0	6	0.2	0.2	0.885342	0.632387	29.156714	19.082084	7.603363
1.6	0	6	0.2	0.2	0.496939	0.310587	34.959729	11.697917	11.419780
1.8	0	6	0.2	0.2	0.437628	0.243127	26.106774	5.403571	13.759363
2.0	0	6	0.2	0.2	1.109714	0.554857	31.404379	18.381635	14.840077
2.2	0	6	0.2	0.2	0.541642	0.246201	30.020893	6.231313	18.516404
2.4	0	6	0.2	0.2	1.187048	0.494603	29.562467	11.632836	19.762667
2.6	0	6	0.2	0.2	1.053449	0.405173	30.040208	8.375945	22.089234
2.8	0	6	0.2	0.2	1.032015	0.368577	28.092984	4.467141	23.764423
3.0	0	6	0.2	0.2	1.055930	0.351977	28.771327	4.343541	24.657851
3.2	0	6	0.2	0.2	1.057596	0.330499	32.454355	7.326808	25.526560
3.4	0	6	0.2	0.2	2.169214	0.638004	33.526148	14.174133	26.991921
3.6	0	6	0.2	0.2	1.797169	0.499214	33.004392	5.710764	29.826748
3.8	0	6	0.2	0.2	1.403589	0.369366	28.775218	-3.079028	30.968901

Simulation ends at time = 4.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.468184	25.610706	0.000000	0.000000
0.2	0	6	0.2	0.2	0.110437	0.552186	34.317569	3.789939	0.000000
0.4	0	6	0.2	0.2	0.278790	0.696974	30.107051	8.182216	0.757988
0.6	0	6	0.2	0.2	0.410285	0.683808	30.810816	11.658816	2.394431
0.8	0	6	0.2	0.2	0.209358	0.261698	34.723302	6.280148	4.726194
1.0	0	6	0.2	0.2	0.595608	0.595608	28.851008	13.620833	5.982224
1.2	0	6	0.2	0.2	0.520533	0.433777	32.028072	12.139695	8.706391
1.4	0	6	0.2	0.2	0.502124	0.358660	31.437854	10.194897	11.134330
1.6	0	6	0.2	0.2	0.445225	0.278266	29.083813	7.083754	13.173309
1.8	0	6	0.2	0.2	0.939898	0.522165	30.466179	14.921929	14.590060
2.0	0	6	0.2	0.2	0.580395	0.290198	31.045922	7.818779	17.574446
2.2	0	6	0.2	0.2	0.658496	0.299316	29.984035	7.141935	19.138201
2.4	0	6	0.2	0.2	0.736824	0.307010	33.926966	9.844243	20.566588
2.6	0	6	0.2	0.2	0.593800	0.228384	30.741723	4.872889	22.535437
2.8	0	6	0.2	0.2	0.892229	0.318653	26.969620	3.086758	23.510015
3.0	0	6	0.2	0.2	2.007221	0.669074	25.904689	3.567478	24.127367
3.2	0	6	0.2	0.2	1.295353	0.404798	32.153005	9.471804	24.840862
3.4	0	6	0.2	0.2	0.951686	0.279908	33.452990	6.393205	26.735223
3.6	0	6	0.2	0.2	1.993554	0.553765	33.030841	10.001614	28.013864
3.8	0	6	0.2	0.2	1.432608	0.377002	34.946926	7.066683	30.014187
4.0	0	6	0.2	0.2	0.833454	0.208364	25.183947	-5.203736	31.427523

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.266218	32.505459	0.000000	0.000000
0.2	0	6	0.2	0.2	0.090373	0.451866	33.787141	3.053455	0.000000
0.4	0	6	0.2	0.2	0.190427	0.476069	31.995011	5.976437	0.610691
0.6	0	6	0.2	0.2	0.154009	0.256681	32.867142	4.783688	1.805979
0.8	0	6	0.2	0.2	0.545569	0.681961	25.876558	12.610194	2.762716
1.0	0	6	0.2	0.2	0.274442	0.274442	32.036567	7.341821	5.284755
1.2	0	6	0.2	0.2	0.826108	0.688423	30.523085	19.636563	6.753119
1.4	0	6	0.2	0.2	0.957874	0.684196	27.940293	16.532770	10.680432
1.6	0	6	0.2	0.2	1.100274	0.687671	30.169249	17.804921	13.986986
1.8	0	6	0.2	0.2	0.514404	0.285780	25.044364	3.856175	17.547970
2.0	0	6	0.2	0.2	1.086399	0.543200	27.704352	10.196017	18.319205
2.2	0	6	0.2	0.2	0.937059	0.425936	25.840949	5.137466	20.358408
2.4	0	6	0.2	0.2	1.358552	0.566064	29.882482	11.543051	21.385901
2.6	0	6	0.2	0.2	0.680141	0.261593	25.349511	1.125633	23.694511
2.8	0	6	0.2	0.2	1.651945	0.589981	31.693347	12.841743	23.919638
3.0	0	6	0.2	0.2	1.671368	0.557123	33.198417	11.215595	26.487987
3.2	0	6	0.2	0.2	2.189268	0.684146	29.796073	2.331499	28.731105
3.4	0	6	0.2	0.2	1.267577	0.372817	33.069337	4.907970	29.197405
3.6	0	6	0.2	0.2	1.313860	0.364961	29.744366	-0.571047	30.178999

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.329238	29.420781	0.000000	0.000000
0.2	0	6	0.2	0.2	0.044040	0.220201	31.105241	1.369880	0.000000
0.4	0	6	0.2	0.2	0.134145	0.335361	33.794182	4.496553	0.273976
0.6	0	6	0.2	0.2	0.264023	0.440038	28.415062	7.192456	1.173287
0.8	0	6	0.2	0.2	0.372058	0.465072	32.897768	11.268132	2.611778
1.0	0	6	0.2	0.2	0.292016	0.292016	34.952817	8.785992	4.865405
1.2	0	6	0.2	0.2	0.574743	0.478953	34.102806	15.794058	6.622603
1.4	0	6	0.2	0.2	0.672967	0.480691	32.436175	15.245914	9.781415
1.6	0	6	0.2	0.2	0.565913	0.353696	27.804736	8.474066	12.830597
1.8	0	6	0.2	0.2	1.138174	0.632319	28.374972	15.763207	14.525410
2.0	0	6	0.2	0.2	0.432259	0.216129	26.217085	3.691073	17.678052
2.2	0	6	0.2	0.2	1.336582	0.607537	29.748588	15.146582	18.416267
2.4	0	6	0.2	0.2	0.563737	0.234891	30.135022	4.898561	21.445583
2.6	0	6	0.2	0.2	1.782204	0.685463	28.009988	9.953061	22.425295
2.8	0	6	0.2	0.2	1.137906	0.406395	33.494176	10.330220	24.415908
3.0	0	6	0.2	0.2	1.709611	0.569870	31.072718	7.848426	26.481952
3.2	0	6	0.2	0.2	1.754685	0.548339	29.671494	2.842338	28.051637
3.4	0	6	0.2	0.2	0.706685	0.207849	26.534786	-1.473664	28.620104

Simulation ends at time = 2.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.308651	30.052481	0.000000	0.000000
0.2	0	6	0.2	0.2	0.090424	0.452119	32.923798	2.977098	0.000000
0.4	0	6	0.2	0.2	0.132522	0.331305	30.666535	3.985083	0.595420
0.6	0	6	0.2	0.2	0.417048	0.695080	32.677738	13.047473	1.392436
0.8	0	6	0.2	0.2	0.257797	0.322246	33.303986	7.553968	4.001931
1.0	0	6	0.2	0.2	0.208693	0.208693	32.806723	5.696080	5.512724
1.2	0	6	0.2	0.2	0.661056	0.550880	28.239270	14.270434	6.651940
1.4	0	6	0.2	0.2	0.314066	0.224333	33.681956	7.592825	9.506027
1.6	0	6	0.2	0.2	0.771048	0.481905	30.223410	14.803201	11.024592
1.8	0	6	0.2	0.2	0.986092	0.547829	34.929393	20.652868	13.985232
2.0	0	6	0.2	0.2	0.472507	0.236253	27.560959	4.462900	18.115806
2.2	0	6	0.2	0.2	0.898552	0.408433	27.367080	7.510719	19.008386
2.4	0	6	0.2	0.2	1.394263	0.580943	34.375733	19.331739	20.510530
2.6	0	6	0.2	0.2	0.818078	0.314646	30.033449	4.627519	24.376878
2.8	0	6	0.2	0.2	1.688508	0.603038	25.148848	-0.259243	25.302382

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.604517	25.641569	0.000000	0.000000
0.2	0	6	0.2	0.2	0.098356	0.491779	34.934516	3.436013	0.000000
0.4	0	6	0.2	0.2	0.186166	0.465414	29.262528	5.319742	0.687203
0.6	0	6	0.2	0.2	0.217609	0.362682	31.962264	6.574209	1.751151
0.8	0	6	0.2	0.2	0.553868	0.692335	33.426606	16.815762	3.065993
1.0	0	6	0.2	0.2	0.308408	0.308408	29.304797	7.055029	6.429145
1.2	0	6	0.2	0.2	0.834651	0.695542	25.721855	14.924975	7.840151
1.4	0	6	0.2	0.2	0.585185	0.417989	31.067358	11.845444	10.825146
1.6	0	6	0.2	0.2	1.048305	0.655191	32.703630	20.451798	13.194235
1.8	0	6	0.2	0.2	0.943856	0.524365	30.878720	12.830901	17.284594
2.0	0	6	0.2	0.2	0.437853	0.218927	32.206062	5.409801	19.850774
2.2	0	6	0.2	0.2	0.557457	0.253389	33.686705	7.109787	20.932735
2.4	0	6	0.2	0.2	0.994592	0.414413	26.570534	4.193041	22.354692
2.6	0	6	0.2	0.2	1.193492	0.459035	34.711533	13.746918	23.193300
2.8	0	6	0.2	0.2	0.740010	0.264289	32.680882	4.986334	25.942684
3.0	0	6	0.2	0.2	1.771051	0.590350	25.581263	-2.406304	26.939951

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.265298	30.326698	0.000000	0.000000
0.2	0	6	0.2	0.2	0.120714	0.603569	27.614495	3.333453	0.000000
0.4	0	6	0.2	0.2	0.189264	0.473161	25.896463	4.775094	0.666691
0.6	0	6	0.2	0.2	0.361726	0.602877	31.623678	10.852490	1.621709
0.8	0	6	0.2	0.2	0.201740	0.252175	32.757095	5.843382	3.792207
1.0	0	6	0.2	0.2	0.656017	0.656017	30.251180	16.590868	4.960884
1.2	0	6	0.2	0.2	0.369293	0.307744	25.469355	6.348250	8.279057
1.4	0	6	0.2	0.2	0.575164	0.410831	32.113416	12.978399	9.548707
1.6	0	6	0.2	0.2	1.064675	0.665422	29.113188	18.066260	12.144387
1.8	0	6	0.2	0.2	0.509189	0.282883	25.308131	4.863003	15.757639
2.0	0	6	0.2	0.2	0.981758	0.490879	34.845954	17.785246	16.730240
2.2	0	6	0.2	0.2	1.214083	0.551856	30.362289	12.231885	20.287289
2.4	0	6	0.2	0.2	1.220042	0.508351	32.764246	12.237725	22.733666
2.6	0	6	0.2	0.2	1.499209	0.576619	34.027747	13.262805	25.181211
2.8	0	6	0.2	0.2	1.638637	0.585227	32.324431	7.358560	27.833772
3.0	0	6	0.2	0.2	0.632707	0.210902	28.372958	-0.590016	29.305484

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.525378	29.760437	0.000000	0.000000
0.2	0	6	0.2	0.2	0.130405	0.652025	25.911338	3.378968	0.000000
0.4	0	6	0.2	0.2	0.239491	0.598728	32.731849	7.677145	0.675794
0.6	0	6	0.2	0.2	0.336345	0.560575	30.103407	9.381398	2.211223
0.8	0	6	0.2	0.2	0.341062	0.426328	27.441663	7.965222	4.087502
1.0	0	6	0.2	0.2	0.318567	0.318567	33.323355	8.806082	5.680547
1.2	0	6	0.2	0.2	0.497782	0.414819	26.208045	9.341523	7.441763
1.4	0	6	0.2	0.2	0.970951	0.693537	25.689739	15.903862	9.310068
1.6	0	6	0.2	0.2	0.907195	0.566997	34.086434	19.591406	12.490840
1.8	0	6	0.2	0.2	0.445740	0.247633	28.915623	5.574645	16.409121
2.0	0	6	0.2	0.2	1.219627	0.609814	26.681066	11.168144	17.524050
2.2	0	6	0.2	0.2	0.689263	0.313301	32.083919	8.496017	19.757679
2.4	0	6	0.2	0.2	0.666249	0.277604	25.995216	3.023659	21.456882
2.6	0	6	0.2	0.2	1.783397	0.685922	32.940742	19.401809	22.061614
2.8	0	6	0.2	0.2	1.471867	0.525667	29.438116	5.145852	25.941976
3.0	0	6	0.2	0.2	0.743196	0.247732	28.162848	0.885668	26.971146
3.2	0	6	0.2	0.2	1.164243	0.363826	32.126837	5.796253	27.148280
3.4	0	6	0.2	0.2	2.151546	0.632808	33.860404	11.947263	28.307530
3.6	0	6	0.2	0.2	1.193313	0.331476	29.696850	-1.193473	30.696983

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.294718	32.802165	0.000000	0.000000
0.2	0	6	0.2	0.2	0.044793	0.223967	34.865451	1.561746	0.000000
0.4	0	6	0.2	0.2	0.248474	0.621184	25.462652	6.249188	0.312349
0.6	0	6	0.2	0.2	0.298246	0.497077	30.641810	8.672884	1.562187
0.8	0	6	0.2	0.2	0.233783	0.292229	29.850994	6.207938	3.296763
1.0	0	6	0.2	0.2	0.437540	0.437540	34.691869	13.193366	4.538351
1.2	0	6	0.2	0.2	0.830534	0.692112	30.723773	19.556387	7.177024
1.4	0	6	0.2	0.2	0.486231	0.347308	25.306910	6.913532	11.088302
1.6	0	6	0.2	0.2	0.464786	0.290491	29.523009	7.925533	12.471008
1.8	0	6	0.2	0.2	1.088248	0.604582	25.285265	12.220105	14.056115
2.0	0	6	0.2	0.2	0.829719	0.414860	30.723560	11.801451	16.500136
2.2	0	6	0.2	0.2	1.472035	0.669107	31.775366	19.011250	18.860426
2.4	0	6	0.2	0.2	1.208878	0.503699	34.048568	13.764156	22.662676
2.6	0	6	0.2	0.2	0.725142	0.278901	31.321308	4.282544	25.415507
2.8	0	6	0.2	0.2	1.413659	0.504878	27.894775	2.294027	26.272016
3.0	0	6	0.2	0.2	1.877062	0.625687	25.461977	-2.381700	26.730821

Simulation ends at time = 4.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.217982	30.527284	0.000000	0.000000
0.2	0	6	0.2	0.2	0.139049	0.695243	26.298686	3.656797	0.000000
0.4	0	6	0.2	0.2	0.278228	0.695569	28.901132	7.837612	0.731359
0.6	0	6	0.2	0.2	0.186002	0.310003	32.182534	5.558405	2.298882
0.8	0	6	0.2	0.2	0.495889	0.619861	29.274560	12.825669	3.410563
1.0	0	6	0.2	0.2	0.520631	0.520631	26.360611	10.613014	5.975697
1.2	0	6	0.2	0.2	0.777411	0.647842	26.520442	14.321572	8.098299
1.4	0	6	0.2	0.2	0.696142	0.497244	30.939541	13.906771	10.962614
1.6	0	6	0.2	0.2	0.498831	0.311770	29.307489	7.763571	13.743968
1.8	0	6	0.2	0.2	0.595407	0.330782	27.196995	7.085527	15.296682
2.0	0	6	0.2	0.2	0.674928	0.337464	26.417895	6.549576	16.713788
2.2	0	6	0.2	0.2	0.954797	0.433999	27.101367	8.667328	18.023703
2.4	0	6	0.2	0.2	0.572783	0.238660	28.675031	5.108001	19.757168
2.6	0	6	0.2	0.2	0.841088	0.323495	30.190339	7.915959	20.778769
2.8	0	6	0.2	0.2	0.829210	0.296146	31.191678	7.321687	22.361960
3.0	0	6	0.2	0.2	0.642292	0.214097	33.450181	6.181345	23.826298
3.2	0	6	0.2	0.2	0.840790	0.262747	30.014674	4.163680	25.062567
3.4	0	6	0.2	0.2	1.619423	0.476301	29.706745	6.172339	25.895303
3.6	0	6	0.2	0.2	1.444130	0.401147	28.421135	1.864898	27.129771
3.8	0	6	0.2	0.2	0.898223	0.236374	31.192515	3.314231	27.502750
4.0	0	6	0.2	0.2	2.706155	0.676539	30.359256	5.936384	28.165596
4.2	0	6	0.2	0.2	2.658108	0.632883	34.038006	12.453588	29.352873
4.4	0	6	0.2	0.2	2.649062	0.602059	29.122693	-7.207825	31.843591

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.515118	26.771404	0.000000	0.000000
0.2	0	6	0.2	0.2	0.113140	0.565700	29.300781	3.315088	0.000000
0.4	0	6	0.2	0.2	0.124843	0.312108	31.882238	3.897510	0.663018
0.6	0	6	0.2	0.2	0.374649	0.624415	34.257214	12.293988	1.442520
0.8	0	6	0.2	0.2	0.406113	0.507641	32.110691	11.456185	3.901317
1.0	0	6	0.2	0.2	0.289438	0.289438	29.376713	6.710379	6.192554
1.2	0	6	0.2	0.2	0.289304	0.241087	31.251262	6.861327	7.534630
1.4	0	6	0.2	0.2	0.332711	0.237650	32.779466	7.942658	8.906896
1.6	0	6	0.2	0.2	0.487811	0.304882	29.559301	9.299565	10.495427
1.8	0	6	0.2	0.2	1.160857	0.644921	31.152021	21.820257	12.355340
2.0	0	6	0.2	0.2	0.860319	0.430159	26.380713	8.311815	16.719392
2.2	0	6	0.2	0.2	1.071697	0.487135	27.365614	9.627977	18.381755
2.4	0	6	0.2	0.2	0.687750	0.286562	29.461757	6.295941	20.307350
2.6	0	6	0.2	0.2	1.529897	0.588422	26.693059	7.843046	21.566538
2.8	0	6	0.2	0.2	1.238038	0.442156	30.679120	9.339724	23.135147
3.0	0	6	0.2	0.2	1.952320	0.650773	31.868475	13.403428	25.003092
3.2	0	6	0.2	0.2	1.243211	0.388503	25.973038	-2.126811	27.683778

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.232910	32.599660	0.000000	0.000000
0.2	0	6	0.2	0.2	0.103195	0.515977	28.779279	2.969887	0.000000
0.4	0	6	0.2	0.2	0.262455	0.656138	27.996986	7.192064	0.593977
0.6	0	6	0.2	0.2	0.270849	0.451415	26.222862	6.551964	2.032390
0.8	0	6	0.2	0.2	0.536118	0.670147	29.883580	14.228996	3.342783
1.0	0	6	0.2	0.2	0.273532	0.273532	32.854995	7.294125	6.188582
1.2	0	6	0.2	0.2	0.330410	0.275342	30.035255	7.397179	7.647407
1.4	0	6	0.2	0.2	0.399080	0.285057	29.900665	8.290414	9.126843
1.6	0	6	0.2	0.2	0.979524	0.612202	28.422331	17.276258	10.784926
1.8	0	6	0.2	0.2	0.584042	0.324468	33.157010	11.048232	14.240178
2.0	0	6	0.2	0.2	0.644710	0.322355	29.971740	8.717711	16.449824
2.2	0	6	0.2	0.2	0.653210	0.296914	30.727599	8.187487	18.193366
2.4	0	6	0.2	0.2	1.122142	0.467559	30.956340	12.484367	19.830864
2.6	0	6	0.2	0.2	1.431550	0.550596	32.788365	14.974914	22.327737
2.8	0	6	0.2	0.2	0.759151	0.271125	33.612594	6.293267	25.322720
3.0	0	6	0.2	0.2	1.860946	0.620315	26.263540	-0.591470	26.581373

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.577464	30.024795	0.000000	0.000000
0.2	0	6	0.2	0.2	0.060388	0.301940	25.100304	1.515755	0.000000
0.4	0	6	0.2	0.2	0.268463	0.671158	28.607847	7.598770	0.303151
0.6	0	6	0.2	0.2	0.200361	0.333935	29.748289	5.595156	1.822905
0.8	0	6	0.2	0.2	0.211973	0.264966	33.846108	6.550854	2.941936
1.0	0	6	0.2	0.2	0.202515	0.202515	34.461704	6.117882	4.252107
1.2	0	6	0.2	0.2	0.569548	0.474623	27.636649	12.621731	5.475683
1.4	0	6	0.2	0.2	0.496852	0.354894	32.139882	11.993937	8.000030
1.6	0	6	0.2	0.2	0.486387	0.303992	28.773872	8.937388	10.398817
1.8	0	6	0.2	0.2	0.528485	0.293603	33.876790	11.463099	12.186295
2.0	0	6	0.2	0.2	0.506463	0.253232	33.218448	9.490888	14.478915
2.2	0	6	0.2	0.2	0.784287	0.356494	31.380994	11.767369	16.377092
2.4	0	6	0.2	0.2	1.600021	0.666675	30.891969	19.458497	18.730566
2.6	0	6	0.2	0.2	1.435256	0.552022	31.643240	12.947412	22.622265
2.8	0	6	0.2	0.2	1.483305	0.529752	27.199321	2.948179	25.211748
3.0	0	6	0.2	0.2	1.092853	0.364284	33.269457	8.161505	25.801383
3.2	0	6	0.2	0.2	0.988131	0.308791	32.790494	5.293228	27.433684
3.4	0	6	0.2	0.2	1.967840	0.578776	25.445838	-5.995009	28.492330

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.601535	32.162029	0.000000	0.000000
0.2	0	6	0.2	0.2	0.135680	0.678402	32.693921	4.435923	0.000000
0.4	0	6	0.2	0.2	0.153112	0.382779	26.598881	3.936757	0.887185
0.6	0	6	0.2	0.2	0.287437	0.479062	28.192555	7.622259	1.674536
0.8	0	6	0.2	0.2	0.221456	0.276820	29.464204	5.816584	3.198988
1.0	0	6	0.2	0.2	0.516485	0.516485	31.019254	13.767908	4.362305
1.2	0	6	0.2	0.2	0.373312	0.311093	33.426120	9.821917	7.115886
1.4	0	6	0.2	0.2	0.307688	0.219777	28.948967	6.113351	9.080270
1.6	0	6	0.2	0.2	0.416406	0.260254	34.105675	9.911603	10.302940
1.8	0	6	0.2	0.2	0.688576	0.382542	34.578069	15.350291	12.285260
2.0	0	6	0.2	0.2	0.817660	0.408830	26.241167	8.900921	15.355319
2.2	0	6	0.2	0.2	1.208146	0.549157	31.768841	17.679213	17.135503
2.4	0	6	0.2	0.2	0.568187	0.236745	29.641492	5.096721	20.671345
2.6	0	6	0.2	0.2	1.687781	0.649147	32.955062	19.011796	21.690690
2.8	0	6	0.2	0.2	1.355313	0.484040	28.009462	3.410528	25.493049
3.0	0	6	0.2	0.2	1.464587	0.488196	31.171789	7.318009	26.175154
3.2	0	6	0.2	0.2	1.619441	0.506075	28.518543	1.424764	27.638756
3.4	0	6	0.2	0.2	1.904573	0.560169	26.126563	-3.422795	27.923709

Simulation ends at time = 2.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.253552	28.939000	0.000000	0.000000
0.2	0	6	0.2	0.2	0.059646	0.298232	31.359438	1.870475	0.000000
0.4	0	6	0.2	0.2	0.185646	0.464116	30.848724	5.657500	0.374095
0.6	0	6	0.2	0.2	0.281431	0.469052	28.461881	7.586346	1.505595
0.8	0	6	0.2	0.2	0.523167	0.653959	33.037011	15.702407	3.022864
1.0	0	6	0.2	0.2	0.218666	0.218666	30.553855	5.333369	6.163346
1.2	0	6	0.2	0.2	0.735087	0.612573	25.755502	13.617847	7.230019
1.4	0	6	0.2	0.2	0.897695	0.641211	27.371815	15.636260	9.953589
1.6	0	6	0.2	0.2	1.000674	0.625421	30.676808	17.607822	13.080841
1.8	0	6	0.2	0.2	0.361771	0.200984	34.676687	6.538758	16.602405
2.0	0	6	0.2	0.2	0.779277	0.389638	29.446581	8.990065	17.910157
2.2	0	6	0.2	0.2	0.443988	0.201813	32.828546	5.825288	19.708170
2.4	0	6	0.2	0.2	1.557010	0.648754	31.284475	16.210421	20.873228
2.6	0	6	0.2	0.2	1.723922	0.663047	34.731948	18.302252	24.115312
2.8	0	6	0.2	0.2	1.525132	0.544690	27.517067	-0.394545	27.775762

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.503327	27.606149	0.000000	0.000000
0.2	0	6	0.2	0.2	0.102772	0.513859	25.641043	2.635175	0.000000
0.4	0	6	0.2	0.2	0.250265	0.625661	28.432226	6.983680	0.527035
0.6	0	6	0.2	0.2	0.413940	0.689900	28.900196	11.166615	1.923771
0.8	0	6	0.2	0.2	0.247307	0.309134	25.219063	5.208782	4.157094
1.0	0	6	0.2	0.2	0.537905	0.537905	32.305396	14.580738	5.198851
1.2	0	6	0.2	0.2	0.449717	0.374764	30.152207	9.910511	8.114998
1.4	0	6	0.2	0.2	0.564915	0.403511	31.845596	12.286058	10.097100
1.6	0	6	0.2	0.2	0.495168	0.309480	34.074078	10.655890	12.554312
1.8	0	6	0.2	0.2	0.764544	0.424747	29.687810	11.469934	14.685490
2.0	0	6	0.2	0.2	0.984327	0.492163	29.188286	12.017460	16.979477
2.2	0	6	0.2	0.2	1.218546	0.553885	31.995752	15.369260	19.382969
2.4	0	6	0.2	0.2	1.332033	0.555014	33.343442	14.501341	22.456821
2.6	0	6	0.2	0.2	0.611485	0.235186	30.210462	2.967763	25.357089
2.8	0	6	0.2	0.2	0.938486	0.335173	34.591988	8.109780	25.950642
3.0	0	6	0.2	0.2	1.508531	0.502844	27.256086	-0.477467	27.572598

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.398754	34.549584	0.000000	0.000000
0.2	0	6	0.2	0.2	0.095258	0.476292	32.131174	3.060765	0.000000
0.4	0	6	0.2	0.2	0.207923	0.519808	30.028438	6.116329	0.612153
0.6	0	6	0.2	0.2	0.202774	0.337956	34.185629	6.559775	1.835419
0.8	0	6	0.2	0.2	0.219031	0.273789	26.929513	5.209027	3.147374
1.0	0	6	0.2	0.2	0.428996	0.428996	26.802101	9.700851	4.189179
1.2	0	6	0.2	0.2	0.576392	0.480327	28.818492	13.077846	6.129349
1.4	0	6	0.2	0.2	0.478073	0.341481	33.177079	11.680357	8.744918
1.6	0	6	0.2	0.2	0.732103	0.457564	28.522128	12.768709	11.080990
1.8	0	6	0.2	0.2	1.072179	0.595655	27.575485	14.946989	13.634732
2.0	0	6	0.2	0.2	0.535160	0.267580	31.921179	8.186373	16.624129
2.2	0	6	0.2	0.2	0.543092	0.246860	26.851829	4.665392	18.261404
2.4	0	6	0.2	0.2	1.589508	0.662295	34.805163	24.813309	19.194483
2.6	0	6	0.2	0.2	0.880761	0.338754	34.135026	8.788127	24.157144
2.8	0	6	0.2	0.2	1.436351	0.512983	25.938843	0.034578	25.914770
3.0	0	6	0.2	0.2	1.805607	0.601869	30.732401	8.686265	25.921685
3.2	0	6	0.2	0.2	0.937697	0.293030	27.623417	-0.033308	27.658938

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.450080	30.192801	0.000000	0.000000
0.2	0	6	0.2	0.2	0.070711	0.353554	29.593183	2.092559	0.000000
0.4	0	6	0.2	0.2	0.086898	0.217244	27.129910	2.321154	0.418512
0.6	0	6	0.2	0.2	0.358394	0.597323	27.327883	9.477772	0.882743
0.8	0	6	0.2	0.2	0.476427	0.595534	28.318397	12.167991	2.778297
1.0	0	6	0.2	0.2	0.618943	0.618943	32.312474	16.773713	5.211895
1.2	0	6	0.2	0.2	0.811495	0.676246	34.370988	20.940112	8.566638
1.4	0	6	0.2	0.2	0.547150	0.390821	25.092006	6.750375	12.754660
1.6	0	6	0.2	0.2	0.482906	0.301816	34.276454	9.741046	14.104735
1.8	0	6	0.2	0.2	0.792174	0.440097	34.822697	14.868915	16.052944
2.0	0	6	0.2	0.2	0.910212	0.455106	31.686535	11.523107	19.026727
2.2	0	6	0.2	0.2	1.184880	0.538582	31.499546	12.048091	21.331349
2.4	0	6	0.2	0.2	0.611782	0.254909	32.225588	5.190742	23.740967
2.6	0	6	0.2	0.2	1.186350	0.456288	25.794541	1.204650	24.779115
2.8	0	6	0.2	0.2	1.772450	0.633018	25.192075	0.304914	25.020045
3.0	0	6	0.2	0.2	0.969499	0.323166	34.498548	9.130280	25.081028
3.2	0	6	0.2	0.2	1.385787	0.433058	28.611449	2.361887	26.907084
3.4	0	6	0.2	0.2	2.145630	0.631068	31.284645	8.379080	27.379462
3.6	0	6	0.2	0.2	0.792994	0.220276	33.510566	3.533016	29.055277
3.8	0	6	0.2	0.2	1.706668	0.449123	26.896938	-4.889506	29.761881

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.552675	32.181529	0.000000	0.000000
0.2	0	6	0.2	0.2	0.138384	0.691921	34.699678	4.801885	0.000000
0.4	0	6	0.2	0.2	0.137105	0.342763	28.617917	3.791988	0.960377
0.6	0	6	0.2	0.2	0.366521	0.610869	34.023012	11.840196	1.718775
0.8	0	6	0.2	0.2	0.226731	0.283414	31.539541	6.224390	4.086814
1.0	0	6	0.2	0.2	0.601604	0.601604	29.664362	14.638639	5.331692
1.2	0	6	0.2	0.2	0.792202	0.660168	32.114281	18.897872	8.259420
1.4	0	6	0.2	0.2	0.493973	0.352838	33.627180	10.663981	12.038994
1.6	0	6	0.2	0.2	0.490901	0.306813	26.411310	6.008388	14.171790
1.8	0	6	0.2	0.2	0.929784	0.516547	27.686374	11.448347	15.373468
2.0	0	6	0.2	0.2	0.576631	0.288315	29.636571	6.904248	17.663137
2.2	0	6	0.2	0.2	0.522413	0.237461	34.204481	7.920045	19.043987
2.4	0	6	0.2	0.2	1.290869	0.537862	34.114687	17.409553	20.627996
2.6	0	6	0.2	0.2	1.667229	0.641242	28.177046	6.780855	24.109906
2.8	0	6	0.2	0.2	1.131491	0.404104	33.663719	9.275557	25.466077
3.0	0	6	0.2	0.2	2.096493	0.698831	33.031861	11.972382	27.321189
3.2	0	6	0.2	0.2	1.070559	0.334550	32.350261	2.820489	29.715665
3.4	0	6	0.2	0.2	1.786199	0.525353	28.282485	-3.567536	30.279763

Simulation ends at time = 3.0

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.572309	26.778229	0.000000	0.000000
0.2	0	6	0.2	0.2	0.079510	0.397550	34.159704	2.716041	0.000000
0.4	0	6	0.2	0.2	0.244505	0.611263	33.613826	8.085936	0.543208
0.6	0	6	0.2	0.2	0.186817	0.311361	29.826381	5.168473	2.160395
0.8	0	6	0.2	0.2	0.324548	0.405685	34.048362	10.013693	3.194090
1.0	0	6	0.2	0.2	0.568994	0.568994	28.546080	13.285573	5.196829
1.2	0	6	0.2	0.2	0.432863	0.360719	30.642422	9.864292	7.853943
1.4	0	6	0.2	0.2	0.451931	0.322808	30.355113	9.277383	9.826802
1.6	0	6	0.2	0.2	0.646336	0.403960	33.668050	14.210185	11.682278
1.8	0	6	0.2	0.2	0.704037	0.391132	33.856632	13.610662	14.524315
2.0	0	6	0.2	0.2	0.893100	0.446550	26.519482	8.281742	17.246447
2.2	0	6	0.2	0.2	1.391259	0.632390	32.697895	19.192554	18.902796
2.4	0	6	0.2	0.2	0.848240	0.353433	34.771041	10.204106	22.741307
2.6	0	6	0.2	0.2	0.930831	0.358012	33.830770	8.422753	24.782128
2.8	0	6	0.2	0.2	1.548787	0.553138	33.412364	10.757391	26.466678
3.0	0	6	0.2	0.2	0.604689	0.201563	26.301555	-1.400824	28.618157

Simulation ends at time = 4.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.367076	26.970261	0.000000	0.000000
0.2	0	6	0.2	0.2	0.049548	0.247740	26.043249	1.290388	0.000000
0.4	0	6	0.2	0.2	0.108256	0.270639	31.070236	3.335586	0.258078
0.6	0	6	0.2	0.2	0.405643	0.676072	33.365738	13.159279	0.925195
0.8	0	6	0.2	0.2	0.449435	0.561794	33.992529	13.678765	3.557051
1.0	0	6	0.2	0.2	0.407824	0.407824	26.401622	8.200856	6.292804
1.2	0	6	0.2	0.2	0.420790	0.350658	32.793732	10.461147	7.932975
1.4	0	6	0.2	0.2	0.538061	0.384329	30.434976	10.981700	10.025204
1.6	0	6	0.2	0.2	0.536351	0.335219	26.245748	7.521898	12.221544
1.8	0	6	0.2	0.2	0.362318	0.201288	31.169210	6.320015	13.725924
2.0	0	6	0.2	0.2	0.460473	0.230236	31.614448	7.655137	14.989927
2.2	0	6	0.2	0.2	0.827263	0.376028	27.132525	8.778555	16.520954
2.4	0	6	0.2	0.2	1.278857	0.532857	33.389535	19.327196	18.276665
2.6	0	6	0.2	0.2	1.161405	0.446694	29.368767	8.393081	22.142105
2.8	0	6	0.2	0.2	1.278372	0.456561	30.336520	8.329612	23.820721
3.0	0	6	0.2	0.2	2.003682	0.667894	25.957891	0.944231	25.486643
3.2	0	6	0.2	0.2	0.976981	0.305307	29.680197	3.912524	25.675490
3.4	0	6	0.2	0.2	2.080695	0.611969	28.527582	4.306180	26.457994
3.6	0	6	0.2	0.2	1.761584	0.489329	29.075536	3.093880	27.319230
3.8	0	6	0.2	0.2	2.115552	0.556724	32.342776	9.318519	27.938006
4.0	0	6	0.2	0.2	1.311806	0.327952	34.422610	6.061726	29.801710
4.2	0	6	0.2	0.2	1.292731	0.307793	31.100215	0.111382	31.014055
4.4	0	6	0.2	0.2	2.717477	0.617608	34.293421	8.851068	31.036332
4.6	0	6	0.2	0.2	0.985224	0.214179	28.185882	-4.552389	32.806545

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.618180	27.284506	0.000000	0.000000
0.2	0	6	0.2	0.2	0.134875	0.674376	29.074598	3.921441	0.000000
0.4	0	6	0.2	0.2	0.208051	0.520127	31.823204	6.457671	0.784288
0.6	0	6	0.2	0.2	0.294875	0.491459	25.745308	6.979548	2.075822
0.8	0	6	0.2	0.2	0.351751	0.439688	28.515370	8.809113	3.471732
1.0	0	6	0.2	0.2	0.379178	0.379178	32.367266	10.288511	5.233555
1.2	0	6	0.2	0.2	0.630404	0.525337	29.758162	14.163225	7.291257
1.4	0	6	0.2	0.2	0.389845	0.278460	32.687398	8.796256	10.123902
1.6	0	6	0.2	0.2	1.022712	0.639195	28.782554	17.283227	11.883153
1.8	0	6	0.2	0.2	0.675419	0.375233	25.892032	7.127182	15.339798
2.0	0	6	0.2	0.2	1.013825	0.506912	25.460944	8.815923	16.765235
2.2	0	6	0.2	0.2	0.764339	0.347427	29.999538	8.767824	18.528419
2.4	0	6	0.2	0.2	1.606713	0.669464	30.115056	15.798930	20.281984
2.6	0	6	0.2	0.2	0.891686	0.342956	30.071847	5.911945	23.441770
2.8	0	6	0.2	0.2	1.183399	0.422643	25.067630	0.524803	24.624159
3.0	0	6	0.2	0.2	1.419825	0.473275	31.312585	9.347370	24.729120
3.2	0	6	0.2	0.2	0.913386	0.285433	33.076711	5.917021	26.598594
3.4	0	6	0.2	0.2	1.240320	0.364800	29.773981	2.470697	27.781998
3.6	0	6	0.2	0.2	1.390079	0.386133	26.747975	-2.124266	28.276137

Simulation ends at time = 3.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.491164	25.889053	0.000000	0.000000
0.2	0	6	0.2	0.2	0.078255	0.391274	34.502686	2.700000	0.000000
0.4	0	6	0.2	0.2	0.084893	0.212233	34.861027	2.913628	0.540000
0.6	0	6	0.2	0.2	0.284850	0.474750	32.834383	9.033059	1.122726
0.8	0	6	0.2	0.2	0.285915	0.357394	29.461906	7.586055	2.929337
1.0	0	6	0.2	0.2	0.474651	0.474651	32.381810	13.259487	4.446548
1.2	0	6	0.2	0.2	0.359852	0.299877	25.031345	6.453197	7.098446
1.4	0	6	0.2	0.2	0.524542	0.374673	31.527716	12.137177	8.389085
1.6	0	6	0.2	0.2	0.408472	0.255295	29.094386	7.466001	10.816521
1.8	0	6	0.2	0.2	0.642909	0.357172	25.189709	8.280667	12.309721
2.0	0	6	0.2	0.2	0.979507	0.489753	33.866220	19.492541	13.965854
2.2	0	6	0.2	0.2	0.450383	0.204719	33.107332	6.865167	17.864362
2.4	0	6	0.2	0.2	1.668921	0.695384	31.637297	20.694451	19.237396
2.6	0	6	0.2	0.2	1.811430	0.696704	26.605493	5.849482	23.376286
2.8	0	6	0.2	0.2	1.391101	0.496822	30.796675	8.695065	24.546183
3.0	0	6	0.2	0.2	1.435815	0.478605	32.726738	9.248863	26.285196
3.2	0	6	0.2	0.2	2.113159	0.660362	30.493273	4.983475	28.134968
3.4	0	6	0.2	0.2	1.397830	0.411127	27.356926	-2.480782	29.131663

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.260030	31.266619	0.000000	0.000000
0.2	0	6	0.2	0.2	0.128583	0.642914	26.982869	3.469536	0.000000
0.4	0	6	0.2	0.2	0.200136	0.500339	31.923511	6.250160	0.693907
0.6	0	6	0.2	0.2	0.300311	0.500518	34.109318	9.659602	1.943939
0.8	0	6	0.2	0.2	0.416923	0.521154	28.032372	10.071411	3.875859
1.0	0	6	0.2	0.2	0.557596	0.557596	32.720119	14.960300	5.890142
1.2	0	6	0.2	0.2	0.262372	0.218644	33.518105	6.463780	8.882202
1.4	0	6	0.2	0.2	0.567428	0.405306	30.165628	11.343271	10.174958
1.6	0	6	0.2	0.2	0.833069	0.520668	29.772786	14.436391	12.443612
1.8	0	6	0.2	0.2	1.259446	0.699692	27.971550	15.920226	15.330890
2.0	0	6	0.2	0.2	0.848745	0.424373	34.515561	13.580457	18.514935
2.2	0	6	0.2	0.2	1.313253	0.596933	26.716783	7.204187	21.231026
2.4	0	6	0.2	0.2	1.145801	0.477417	29.641328	7.985617	22.671864
2.6	0	6	0.2	0.2	0.606151	0.233135	31.440954	4.347293	24.268987
2.8	0	6	0.2	0.2	1.207814	0.431362	27.500248	2.852616	25.138446
3.0	0	6	0.2	0.2	1.512507	0.504169	30.400110	7.095385	25.708969
3.2	0	6	0.2	0.2	1.101124	0.344101	30.646457	3.874208	27.128046
3.4	0	6	0.2	0.2	2.133105	0.627384	31.336734	7.324754	27.902888
3.6	0	6	0.2	0.2	0.752765	0.209101	26.051253	-2.496609	29.367839

Simulation ends at time = 2.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.488656	33.720658	0.000000	0.000000
0.2	0	6	0.2	0.2	0.074906	0.374529	27.048325	2.026077	0.000000
0.4	0	6	0.2	0.2	0.120575	0.301438	25.171381	2.986183	0.405215
0.6	0	6	0.2	0.2	0.251586	0.419311	32.552748	7.937626	1.002452
0.8	0	6	0.2	0.2	0.401743	0.502179	26.048267	9.424202	2.589977
1.0	0	6	0.2	0.2	0.696517	0.696517	31.366994	18.730849	4.474818
1.2	0	6	0.2	0.2	0.465119	0.387599	34.595057	12.267076	8.220987
1.4	0	6	0.2	0.2	0.629448	0.449606	34.024117	14.697434	10.674403
1.6	0	6	0.2	0.2	0.569916	0.356198	28.075852	8.242104	13.613889
1.8	0	6	0.2	0.2	1.014261	0.563478	28.057079	12.977235	15.262310
2.0	0	6	0.2	0.2	0.949967	0.474983	28.032481	9.665650	17.857757
2.2	0	6	0.2	0.2	1.485391	0.675178	34.095231	21.247550	19.790887
2.4	0	6	0.2	0.2	1.271796	0.529915	32.707395	11.022650	24.040397
2.6	0	6	0.2	0.2	1.143084	0.439648	25.649663	-0.680437	26.244927

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.540267	28.335459	0.000000	0.000000
0.2	0	6	0.2	0.2	0.086796	0.433980	30.475605	2.645159	0.000000
0.4	0	6	0.2	0.2	0.195989	0.489973	34.802663	6.717267	0.529032
0.6	0	6	0.2	0.2	0.320841	0.534735	32.376262	9.786859	1.872485
0.8	0	6	0.2	0.2	0.450698	0.563372	34.783422	13.950704	3.829857
1.0	0	6	0.2	0.2	0.268275	0.268275	31.778633	6.749422	6.619998
1.2	0	6	0.2	0.2	0.499809	0.416507	31.908379	11.964675	7.969882
1.4	0	6	0.2	0.2	0.440283	0.314488	30.344899	8.797773	10.362817
1.6	0	6	0.2	0.2	0.789685	0.493553	27.674611	12.281363	12.122372
1.8	0	6	0.2	0.2	0.504097	0.280054	33.049912	9.311309	14.578644
2.0	0	6	0.2	0.2	0.697094	0.348547	26.893532	7.286463	16.440906
2.2	0	6	0.2	0.2	0.866161	0.393710	25.604593	6.674980	17.898199
2.4	0	6	0.2	0.2	1.210987	0.504578	32.972816	16.638504	19.233195
2.6	0	6	0.2	0.2	1.726459	0.664023	25.116703	4.412497	22.560895
2.8	0	6	0.2	0.2	1.022972	0.365347	33.462358	10.249117	23.443395
3.0	0	6	0.2	0.2	0.923464	0.307821	33.204734	7.121306	25.493218
3.2	0	6	0.2	0.2	0.783296	0.244780	25.429564	-1.165478	26.917479

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.241929	28.468037	0.000000	0.000000
0.2	0	6	0.2	0.2	0.124207	0.621035	30.824641	3.828639	0.000000
0.4	0	6	0.2	0.2	0.260682	0.651705	25.080008	6.338300	0.765728
0.6	0	6	0.2	0.2	0.371977	0.619962	26.942366	9.265578	2.033388
0.8	0	6	0.2	0.2	0.376409	0.470511	25.289868	8.056413	3.886503
1.0	0	6	0.2	0.2	0.455367	0.455367	25.300323	9.017418	5.497786
1.2	0	6	0.2	0.2	0.485443	0.404536	33.451713	12.694554	7.301270
1.4	0	6	0.2	0.2	0.486223	0.347302	31.181171	10.376485	9.840180
1.6	0	6	0.2	0.2	0.906027	0.566267	30.788380	17.099369	11.915477
1.8	0	6	0.2	0.2	1.172784	0.651547	29.482750	16.591842	15.335351
2.0	0	6	0.2	0.2	0.850307	0.425154	25.652301	5.950945	18.653719
2.2	0	6	0.2	0.2	0.524999	0.238636	31.292515	6.010508	19.843908
2.4	0	6	0.2	0.2	1.045238	0.435516	26.143815	5.328419	21.046010
2.6	0	6	0.2	0.2	1.375238	0.528938	25.721690	4.964602	22.111694
2.8	0	6	0.2	0.2	0.962294	0.343676	31.747058	8.316573	23.104614
3.0	0	6	0.2	0.2	1.197421	0.399140	28.942964	4.999274	24.767929
3.2	0	6	0.2	0.2	1.801146	0.562858	26.563554	1.433299	25.767784
3.4	0	6	0.2	0.2	1.224416	0.360122	31.886007	7.140258	26.054443
3.6	0	6	0.2	0.2	1.758063	0.488351	26.238887	-2.186340	27.482495

Simulation ends at time = 4.4

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.478333	28.177453	0.000000	0.000000
0.2	0	6	0.2	0.2	0.065770	0.328848	27.527589	1.810477	0.000000
0.4	0	6	0.2	0.2	0.186345	0.465863	27.514931	5.059796	0.362095
0.6	0	6	0.2	0.2	0.253645	0.422742	27.486741	6.623358	1.374055
0.8	0	6	0.2	0.2	0.374659	0.468324	25.166008	8.417573	2.698726
1.0	0	6	0.2	0.2	0.370765	0.370765	34.807506	11.280612	4.382241
1.2	0	6	0.2	0.2	0.299530	0.249608	25.624812	5.687011	6.638363
1.4	0	6	0.2	0.2	0.600776	0.429126	26.270065	11.110933	7.775765
1.6	0	6	0.2	0.2	0.612397	0.382748	33.060967	14.123713	9.997952
1.8	0	6	0.2	0.2	0.648433	0.360241	31.591494	12.170308	12.822695
2.0	0	6	0.2	0.2	1.009730	0.504865	34.783075	19.716306	15.256756
2.2	0	6	0.2	0.2	1.352143	0.614610	26.616749	10.028480	19.200017
2.4	0	6	0.2	0.2	0.492112	0.205047	31.439560	5.036197	21.205714
2.6	0	6	0.2	0.2	0.911931	0.350743	34.332156	11.051883	22.212953
2.8	0	6	0.2	0.2	0.577871	0.206382	26.912757	1.438567	24.423329
3.0	0	6	0.2	0.2	0.980679	0.326893	26.098131	1.360288	24.711043
3.2	0	6	0.2	0.2	2.014113	0.629410	34.682853	19.536395	24.983101
3.4	0	6	0.2	0.2	1.067240	0.313894	29.243336	0.376689	28.890380
3.6	0	6	0.2	0.2	0.928690	0.257969	32.843838	3.601571	28.965717
3.8	0	6	0.2	0.2	1.323368	0.348255	30.269266	0.771834	29.686032
4.0	0	6	0.2	0.2	1.383230	0.345808	31.055473	1.680728	29.840398
4.2	0	6	0.2	0.2	2.809887	0.669021	30.883616	1.986794	30.176544
4.4	0	6	0.2	0.2	1.598667	0.363333	26.815436	-6.008537	30.573903

Simulation ends at time = 4.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.314935	30.835586	0.000000	0.000000
0.2	0	6	0.2	0.2	0.042798	0.213989	32.847628	1.405805	0.000000
0.4	0	6	0.2	0.2	0.083622	0.209056	34.114272	2.829202	0.281161
0.6	0	6	0.2	0.2	0.324348	0.540580	26.135926	8.202407	0.847001
0.8	0	6	0.2	0.2	0.269615	0.337018	34.979697	8.760380	2.487483
1.0	0	6	0.2	0.2	0.449215	0.449215	29.609109	11.396394	4.239559
1.2	0	6	0.2	0.2	0.571490	0.476242	30.876093	13.919935	6.518837
1.4	0	6	0.2	0.2	0.632296	0.451640	25.901030	10.494986	9.302824
1.6	0	6	0.2	0.2	0.398260	0.248912	34.427940	9.170373	11.401822
1.8	0	6	0.2	0.2	1.251375	0.695208	27.565935	17.932250	13.235896
2.0	0	6	0.2	0.2	0.786313	0.393157	33.996207	13.504032	16.822346
2.2	0	6	0.2	0.2	1.074684	0.488493	28.080457	9.196402	19.523153
2.4	0	6	0.2	0.2	0.484012	0.201672	28.635076	3.520045	21.362433
2.6	0	6	0.2	0.2	1.729353	0.665136	32.909359	18.751232	22.066442
2.8	0	6	0.2	0.2	1.708413	0.610147	26.753818	1.601004	25.816688
3.0	0	6	0.2	0.2	1.295392	0.431797	26.910267	1.001828	26.136889
3.2	0	6	0.2	0.2	1.825965	0.570614	31.733710	9.853740	26.337255
3.4	0	6	0.2	0.2	2.228787	0.655526	32.169546	8.606558	28.308003
3.6	0	6	0.2	0.2	0.981992	0.272776	31.358333	1.305086	30.029314
3.8	0	6	0.2	0.2	2.594178	0.682679	33.986357	9.588149	30.290332
4.0	0	6	0.2	0.2	1.985853	0.496463	33.539208	2.643660	32.207961
4.2	0	6	0.2	0.2	1.946554	0.463465	30.823281	-3.724561	32.736693

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.579955	33.256772	0.000000	0.000000
0.2	0	6	0.2	0.2	0.123501	0.617504	29.160720	3.601374	0.000000
0.4	0	6	0.2	0.2	0.110090	0.275226	30.692787	3.299688	0.720275
0.6	0	6	0.2	0.2	0.150645	0.251076	25.054132	3.566366	1.380212
0.8	0	6	0.2	0.2	0.246138	0.307673	31.366948	7.205325	2.093486
1.0	0	6	0.2	0.2	0.429251	0.429251	29.687639	11.226230	3.534551
1.2	0	6	0.2	0.2	0.800178	0.666815	31.463378	20.551442	5.779797
1.4	0	6	0.2	0.2	0.563353	0.402395	32.543931	12.762110	9.890085
1.6	0	6	0.2	0.2	0.670861	0.419288	25.871089	9.008707	12.442507
1.8	0	6	0.2	0.2	0.581919	0.323288	27.559951	7.748656	14.244248
2.0	0	6	0.2	0.2	0.742499	0.371250	31.277972	11.496851	15.793980
2.2	0	6	0.2	0.2	1.068612	0.485733	29.304726	11.980612	18.093350
2.4	0	6	0.2	0.2	1.351611	0.563171	27.874569	9.981781	20.489472
2.6	0	6	0.2	0.2	1.741089	0.669650	29.980663	13.049174	22.485828
2.8	0	6	0.2	0.2	0.733535	0.261977	26.410047	0.964147	25.095663
3.0	0	6	0.2	0.2	1.368512	0.456171	25.678457	0.533671	25.288492
3.2	0	6	0.2	0.2	1.409929	0.440603	34.174431	12.378056	25.395227
3.4	0	6	0.2	0.2	0.979413	0.288063	29.936848	2.023476	27.870838
3.6	0	6	0.2	0.2	1.020937	0.283594	33.154422	4.981040	28.275533
3.8	0	6	0.2	0.2	1.474032	0.387903	29.101330	-0.251192	29.271741

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.679345	25.809564	0.000000	0.000000
0.2	0	6	0.2	0.2	0.107641	0.538203	31.525921	3.393466	0.000000
0.4	0	6	0.2	0.2	0.110363	0.275909	31.684706	3.421930	0.678693
0.6	0	6	0.2	0.2	0.271479	0.452464	28.291407	7.310465	1.363079
0.8	0	6	0.2	0.2	0.425369	0.531711	30.172347	11.632633	2.825172
1.0	0	6	0.2	0.2	0.511595	0.511595	31.352261	13.404068	5.151699
1.2	0	6	0.2	0.2	0.811218	0.676015	27.009732	15.556909	7.832512
1.4	0	6	0.2	0.2	0.833277	0.595198	30.891607	16.621963	10.943894
1.6	0	6	0.2	0.2	0.867137	0.541960	29.849188	13.510772	14.268287
1.8	0	6	0.2	0.2	0.593503	0.329724	29.074263	7.183653	16.970441
2.0	0	6	0.2	0.2	1.031029	0.515514	34.514792	16.607420	18.407172
2.2	0	6	0.2	0.2	1.183159	0.537800	30.536063	10.420564	21.728656
2.4	0	6	0.2	0.2	1.197500	0.498959	28.693927	5.845190	23.812769
2.6	0	6	0.2	0.2	1.271080	0.488877	26.433670	1.845435	24.981807
2.8	0	6	0.2	0.2	0.829309	0.296182	34.714035	7.764940	25.350894
3.0	0	6	0.2	0.2	1.597680	0.532560	32.075662	8.262847	26.903882
3.2	0	6	0.2	0.2	1.246213	0.389441	34.584921	7.512756	28.556451
3.4	0	6	0.2	0.2	1.977743	0.581689	31.124775	2.107825	30.059002
3.6	0	6	0.2	0.2	0.727751	0.202153	33.955034	2.528547	30.480567
3.8	0	6	0.2	0.2	1.797345	0.472985	28.297015	-4.833530	30.986277

Simulation ends at time = 3.6

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.311006	26.914905	0.000000	0.000000
0.2	0	6	0.2	0.2	0.044466	0.222328	34.111512	1.516787	0.000000
0.4	0	6	0.2	0.2	0.177373	0.443433	32.176221	5.653391	0.303357
0.6	0	6	0.2	0.2	0.341404	0.569007	34.285756	11.215710	1.434036
0.8	0	6	0.2	0.2	0.276090	0.345113	32.414013	7.933965	3.677178
1.0	0	6	0.2	0.2	0.513880	0.513880	28.258690	11.816533	5.263971
1.2	0	6	0.2	0.2	0.501056	0.417546	26.366512	9.389402	7.627277
1.4	0	6	0.2	0.2	0.769117	0.549369	31.810182	17.155179	9.505158
1.6	0	6	0.2	0.2	1.043701	0.652313	25.528984	13.143103	12.936193
1.8	0	6	0.2	0.2	0.542034	0.301130	27.591128	6.518676	15.564814
2.0	0	6	0.2	0.2	0.452877	0.226438	32.351796	7.012002	16.868549
2.2	0	6	0.2	0.2	0.520925	0.236784	33.906322	8.144862	18.270950
2.4	0	6	0.2	0.2	0.570337	0.237640	27.398864	4.276923	19.899922
2.6	0	6	0.2	0.2	0.792498	0.304807	26.713610	4.721941	20.755307
2.8	0	6	0.2	0.2	1.669192	0.596140	26.733130	8.401772	21.699695
3.0	0	6	0.2	0.2	1.059745	0.353248	26.939437	3.772044	23.380049
3.2	0	6	0.2	0.2	1.218526	0.380789	28.601420	5.443109	24.134458
3.4	0	6	0.2	0.2	2.059953	0.605869	34.725185	19.573890	25.223080
3.6	0	6	0.2	0.2	1.304143	0.362262	25.471630	-4.781286	29.137858

Simulation ends at time = 3.8

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.246129	34.359734	0.000000	0.000000
0.2	0	6	0.2	0.2	0.055112	0.275561	25.647319	1.413482	0.000000
0.4	0	6	0.2	0.2	0.205712	0.514280	31.586943	6.439659	0.282696
0.6	0	6	0.2	0.2	0.183397	0.305662	32.748955	5.718025	1.570628
0.8	0	6	0.2	0.2	0.481563	0.601953	25.953248	11.191041	2.714233
1.0	0	6	0.2	0.2	0.333296	0.333296	27.247191	7.430757	4.952441
1.2	0	6	0.2	0.2	0.242408	0.202007	27.574949	5.123631	6.438593
1.4	0	6	0.2	0.2	0.856000	0.611429	30.887216	20.050863	7.463319
1.6	0	6	0.2	0.2	0.787793	0.492371	34.809963	18.384305	11.473491
1.8	0	6	0.2	0.2	0.767915	0.426619	25.519343	7.962502	15.150352
2.0	0	6	0.2	0.2	0.558060	0.279030	31.203616	8.069978	16.742853
2.2	0	6	0.2	0.2	0.950258	0.431936	28.148533	9.304631	18.356848
2.4	0	6	0.2	0.2	1.205530	0.502304	28.794848	10.339922	20.217775
2.6	0	6	0.2	0.2	1.240892	0.477266	34.535262	15.200309	22.285759
2.8	0	6	0.2	0.2	1.743499	0.622678	28.693952	5.872334	25.325821
3.0	0	6	0.2	0.2	1.944979	0.648326	29.195491	5.242114	26.500287
3.2	0	6	0.2	0.2	0.886341	0.276982	32.581212	4.460512	27.548710
3.4	0	6	0.2	0.2	1.611560	0.473988	34.634485	9.981475	28.440813
3.6	0	6	0.2	0.2	1.841644	0.511568	34.229488	6.984215	30.437108
3.8	0	6	0.2	0.2	1.694683	0.445969	25.626807	-10.519139	31.833951

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.583244	26.700777	0.000000	0.000000
0.2	0	6	0.2	0.2	0.062515	0.312577	25.213171	1.576213	0.000000
0.4	0	6	0.2	0.2	0.122936	0.307341	25.505809	3.096833	0.315243
0.6	0	6	0.2	0.2	0.306665	0.511108	31.010653	9.223271	0.934609
0.8	0	6	0.2	0.2	0.230949	0.288686	32.296294	6.816928	2.779263
1.0	0	6	0.2	0.2	0.293382	0.293382	31.968481	8.163601	4.142649
1.2	0	6	0.2	0.2	0.536560	0.447134	34.095739	15.195591	5.775369
1.4	0	6	0.2	0.2	0.807406	0.576718	28.117357	15.585244	8.814488
1.6	0	6	0.2	0.2	0.585873	0.366170	31.932539	11.718041	11.931536
1.8	0	6	0.2	0.2	0.799118	0.443954	25.669390	9.105342	14.275144
2.0	0	6	0.2	0.2	0.883268	0.441634	29.336327	11.694567	16.096213
2.2	0	6	0.2	0.2	1.005398	0.456999	29.298776	10.922296	18.435126
2.4	0	6	0.2	0.2	0.482124	0.200885	25.017677	2.120425	20.619585
2.6	0	6	0.2	0.2	1.392411	0.535543	26.964812	8.244664	21.043670
2.8	0	6	0.2	0.2	1.941304	0.693323	27.852487	10.016904	22.692603
3.0	0	6	0.2	0.2	0.618681	0.206227	30.439640	3.553491	24.695984
3.2	0	6	0.2	0.2	0.695604	0.217376	25.405240	-0.001003	25.406682

Simulation ends at time = 3.2

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	learning_function	manpower_buildup_parameter	estimated_total_effort	effort_rate	cumulative_effort
time
0.0	0	6	0.2	0.2	0.000000	0.226295	33.268542	0.000000	0.000000
0.2	0	6	0.2	0.2	0.135201	0.676006	25.016720	3.382290	0.000000
0.4	0	6	0.2	0.2	0.175606	0.439014	34.905573	6.010829	0.676458
0.6	0	6	0.2	0.2	0.160390	0.267317	26.323189	3.920663	1.878624
0.8	0	6	0.2	0.2	0.241087	0.301359	27.954547	6.097520	2.662756
1.0	0	6	0.2	0.2	0.377610	0.377610	32.959341	10.979798	3.882260
1.2	0	6	0.2	0.2	0.519413	0.432844	29.429600	12.129014	6.078220
1.4	0	6	0.2	0.2	0.507897	0.362784	31.882245	11.873734	8.504023
1.6	0	6	0.2	0.2	0.894708	0.559192	34.554154	21.182553	10.878770
1.8	0	6	0.2	0.2	1.139515	0.633064	27.713050	14.355352	15.115280
2.0	0	6	0.2	0.2	1.110486	0.555243	31.217850	14.693389	17.986351
2.2	0	6	0.2	0.2	0.613009	0.278640	30.229335	5.703622	20.925029
2.4	0	6	0.2	0.2	0.868004	0.361668	26.975382	4.261579	22.065753
2.6	0	6	0.2	0.2	0.814674	0.313336	34.023913	9.047647	22.918069
2.8	0	6	0.2	0.2	1.527611	0.545575	33.091461	12.776725	24.727598
3.0	0	6	0.2	0.2	0.811305	0.270435	30.228430	2.389690	27.282943
3.2	0	6	0.2	0.2	2.178568	0.680803	27.399101	-0.788163	27.760881

End Time Mean for 100 runs =  3.4859999999999998

Special Functions

Stop When Condition

# demonstrate stop_when condition to end simulation and the get_stop function
# collect time when the stock reaches zero
init_sd_model(start=0, stop=10, dt=.5, stop_when="stock <= 0")
add_stock("stock", 50, outflows=["outflow_rate"])
add_flow("outflow_rate", "20")

run_model()

print('stop time = ', get_stop_time())

Simulation ends at time = 2.5

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	outflow_rate	stock
time
0.0	0	10	0.5	0.5	20	50.0
0.5	0	10	0.5	0.5	20	40.0
1.0	0	10	0.5	0.5	20	30.0
1.5	0	10	0.5	0.5	20	20.0
2.0	0	10	0.5	0.5	20	10.0
2.5	0	10	0.5	0.5	20	0.0

stop time =  2.5

If Then Else

# demonstrate if then else function
init_sd_model(start=0, stop=5, dt=1)

# set conditional variable
# if time > 2 then 1 else 0
add_auxiliary("conditional", "if_then_else(time > 2, 1, 0)")
add_auxiliary("conditional2", "if_then_else(time < 4, .5, .7)")
run_model()

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	conditional	conditional2
time
0	0	5	1	1	0	0.5
1	0	5	1	1	0	0.5
2	0	5	1	1	0	0.5
3	0	5	1	1	1	0.5
4	0	5	1	1	1	0.7
5	0	5	1	1	1	0.7

	INITIAL TIME	FINAL TIME	TIME STEP	SAVEPER	conditional	conditional2
time
0	0	5	1	1	0	0.5
1	0	5	1	1	0	0.5
2	0	5	1	1	0	0.5
3	0	5	1	1	1	0.5
4	0	5	1	1	1	0.7
5	0	5	1	1	1	0.7