Metadata-Version: 2.1
Name: mip
Version: 1.0.25
Summary: Python tools for Modeling and Solving Mixed-Integer Programs
Home-page: https://github.com/tuliotoffolo/python-mip
Author: Toffolo, T.A.M. and Santos, H.G.
Author-email: haroldo@ufop.edu.br
License: UNKNOWN
Description: # Python MIP (Mixed-Integer Linear Programming) Tools
        
        Python MIP is a collection of Python tools for the modeling and solution
        of Mixed-Integer Linear programs (MIPs). MIP syntax was inspired by
        [Pulp](https://github.com/coin-or/pulp). Just like
        [CyLP](https://github.com/coin-or/CyLP) it also provides access to
        advanced solver features like cut generation, MIPstarts and solution
        Pools. Porting Pulp and Gurobi models should be quite easy.
        
        Some of the main features of MIP are:
        
        * high level modeling: write your MIP models in Python as easily as in
          high level languages such as
          [MathProg](https://en.wikibooks.org/wiki/GLPK/GMPL_(MathProg)): 
          operator overloading makes it easy to write linear expressions in Python;
        
        * full featured:
            - cut generation: write your cut generator in Python and integrate it
              into the Branch-and-Cut search;
            - solution pool: query the elite set of solutions found during the
              search;
            - mipstart: use a problem dependent heuristic to generate initial
              feasible solutions for the MIP search;
        
        * fast: the Python MIP package calls directly the native dynamic loadable
          library of the installed solver using the modern python
          [ctypes](https://docs.python.org/3/library/ctypes.html) module; models
          are efficiently stored and optimized by the solver and MIP transparently
          handles all communication with your Python code; it is also compatible
          with the [Pypy](https://pypy.org/) just in time compiler, meaning that
          you can have a much better performance than the official Gurobi python
          interface (which is incompatible with Pypy);
        
        * multi solver: Python MIP was written to be deeply integrated with the
          C libraries of the open-source COIN-OR Branch-&-Cut
          [CBC](https://projects.coin-or.org/Cbc) solver and the commercial solver
          [Gurobi](http://www.gurobi.com/); the design is solver independent and
          more solvers may be supported in the future but right now the priority
          is to support as much as possible all features of these solvers;
        
        * completely written in modern statically typed Python 3 (requires Python
          3.5 or newer).
          
        ## Documentation
         
        The Documentation for Python-MIP is available at:
        https://python-mip.readthedocs.io/en/latest/
        
        A PDF version is also available:
        https://media.readthedocs.org/pdf/python-mip/latest/python-mip.pdf
         
        
        
Keywords: Optimization,Linear Programming,Integer Programming,Operations Research
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
