Metadata-Version: 2.1
Name: pydace
Version: 0.0.3
Summary: Design and Analysis of Computational Experiments as python toolbox.
Home-page: https://github.com/feslima/pydace
Author: Felipe Souza Lima
Author-email: felipe.lima@eq.ufcg.edu.br
License: Apache License 2.0
Keywords: surrogate,metamodel
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.5
Requires-Dist: scipy (>=1.2.0)

# Description

This project is an adaptation from the work of Hans Bruun Nielsen, SÃ¸ren Nymand and Lophaven Jacob SÃ¸ndergaard.

## Notes
**This is a implementation that relies heavily on linear algebra solvers** (least-squares solvers, Cholesky and QR 
decompositions, etc.). Therefore, it is strongly advised that your numpy library be integrated to a 
[BLAS library](http://markus-beuckelmann.de/blog/boosting-numpy-blas.html) (e.g.: Intel-MKL, OpenBLAS, ATLAS, etc.) 
in order to attain satisfactory performances of calculation.

For the sake of convenience, Anaconda handles the gritty details of how to combine numpy and those libraries natively.

## Installation

To install through PyPi Repository:

    pip install pydace

To install via conda

    conda install -c felipes21 pydace

## Usage

In progress...

## Contact/Talk to me

My e-emal is felipe.lima@eq.ufcg.edu.br. Feel free to contact me anytime.


