pyOpt-1.2.0
所属分类：数学计算
开发工具：Python
文件大小：759KB
下载次数：29
上传日期：2015-01-12 16:46:42
上 传 者：
dzkdlhy
说明： 基于Python的非线性约束优化代码,用于求解非线性约束下的最优解。
(Python-based nonlinear optimization code constraint, the optimal solution for solving nonlinear constraints.)
文件列表:
pyOpt-1.2.0 (0, 2015-01-12)
pyOpt-1.2.0\CHANGES (2026, 2014-08-01)
pyOpt-1.2.0\INSTALL (2163, 2014-08-01)
pyOpt-1.2.0\LICENSE (41408, 2014-08-01)
pyOpt-1.2.0\QUICKGUIDE (5227, 2014-08-01)
pyOpt-1.2.0\examples (0, 2015-01-12)
pyOpt-1.2.0\examples\autorefine.py (1945, 2011-03-03)
pyOpt-1.2.0\examples\groups.py (1873, 2014-02-09)
pyOpt-1.2.0\examples\history.py (1731, 2014-02-09)
pyOpt-1.2.0\examples\parallel_alpso.py (2484, 2014-02-09)
pyOpt-1.2.0\examples\parallel_gradient.py (2293, 2014-02-09)
pyOpt-1.2.0\examples\parallel_midaco.py (2573, 2013-03-22)
pyOpt-1.2.0\examples\parallel_nlpqlp.py (2496, 2014-02-09)
pyOpt-1.2.0\examples\passing_args.py (2024, 2014-02-09)
pyOpt-1.2.0\examples\rosenbrock.py (2679, 2014-08-01)
pyOpt-1.2.0\examples\tp037.py (3152, 2014-08-01)
pyOpt-1.2.0\examples\usersens.py (2711, 2011-03-03)
pyOpt-1.2.0\pyOpt (0, 2015-01-12)
pyOpt-1.2.0\pyOpt\__init__.py (787, 2013-01-13)
pyOpt-1.2.0\pyOpt\pyALGENCAN (0, 2015-01-12)
pyOpt-1.2.0\pyOpt\pyALGENCAN\LICENSE (21172, 2014-06-11)
pyOpt-1.2.0\pyOpt\pyALGENCAN\__init__.py (121, 2012-08-12)
pyOpt-1.2.0\pyOpt\pyALGENCAN\pyALGENCAN.py (15700, 2014-08-01)
pyOpt-1.2.0\pyOpt\pyALGENCAN\setup.py (658, 2011-06-11)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source (0, 2015-01-12)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\algconst.par (2550, 2012-10-16)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\algencan.bak (17665, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\algencan.f (17764, 2014-06-11)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\algparam.inc (669, 2012-10-16)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\auglag.bak (31165, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\auglag.f (31202, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\backtrack.bak (3119, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\backtrack.f (3123, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\betra.bak (31237, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\betra.f (31261, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\calc.f (7409, 2013-03-22)
pyOpt-1.2.0\pyOpt\pyALGENCAN\source\cgm.bak (17317, 2013-03-22)
... ...
pyOpt - PYthon OPTimization Framework
=====================================
Copyright (c) 2008-2014, pyOpt Developers
pyOpt is an object-oriented framework for formulating and solving
nonlinear constrained optimization problems.
Some of the features of pyOpt:
* Object-oriented development maintains independence between
the optimization problem formulation and its solution by
different optimizers
* Allows for easy integration of gradient-based, gradient-free,
and population-based optimization algorithms
* Interfaces both open source as well as industrial optimizers
* Ease the work required to do nested optimization and provides
automated solution refinement
* On parallel systems it enables the use of optimizers when
running in a mpi parallel environment, allows for evaluation
of gradients in parallel, and can distribute function
evaluations for gradient-free optimizers
* Optimization solution histories can be stored during the
optimization process. A partial history can also be used
to warm-restart the optimization
see the QUICKGUIDE file for further details.
Licensing
---------
Distributed using the GNU Lesser General Public License (LGPL); see
the LICENSE file for details.
Please cite pyOpt and the authors of the respective optimization
algorithms in any publication for which you find it useful.
(This is not a legal requirement, just a polite request.)
Contact and Feedback
--------------------
If you have questions, comments, problems, want to contribute to the
framework development, or want to report a bug, please contact the
main developers:
* Dr. Ruben E. Perez (Ruben.Perez@rmc.ca)
* Peter W. Jansen (Peter.Jansen@rmc.ca)
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