pyOpt-1.2.0
所属分类:文章/文档
开发工具:Python
文件大小:2528KB
下载次数:4
上传日期:2017-09-28 10:00:57
上 传 者:
peter_fei
说明: python非线性约束优化包 适用于大型优化问题切求解
(Python Nolinear Constraints Optimization Package)
文件列表:
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALGENCAN\pyALGENCAN.py (15700, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALGENCAN\setup.py (658, 2011-06-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALGENCAN\setup.pyc (918, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALGENCAN\__init__.py (121, 2012-08-12)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALHSO\alhso.py (21126, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALHSO\pyALHSO.py (20362, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALHSO\setup.py (423, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALHSO\setup.pyc (659, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALHSO\__init__.py (112, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\alpso.py (33171, 2013-03-22)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\alpso_dpm.py (36993, 2013-03-22)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\alpso_poa.py (33760, 2013-03-22)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\alpso_spm.py (36595, 2013-03-22)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\pyALPSO.py (15760, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\setup.py (423, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\setup.pyc (659, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyALPSO\__init__.py (112, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCOBYLA\pyCOBYLA.py (12670, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCOBYLA\setup.py (615, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCOBYLA\setup.pyc (880, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCOBYLA\__init__.py (115, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCONMIN\pyCONMIN.py (14962, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCONMIN\setup.py (615, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCONMIN\setup.pyc (880, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyCONMIN\__init__.py (115, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFILTERSD\pyFILTERSD.py (15722, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFILTERSD\setup.py (625, 2013-01-13)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFILTERSD\setup.pyc (890, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFILTERSD\__init__.py (121, 2013-01-13)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFSQP\pyFSQP.py (18026, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFSQP\setup.py (609, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFSQP\setup.pyc (872, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyFSQP\__init__.py (109, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyGCMMA\pyGCMMA.py (18141, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyGCMMA\setup.py (610, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyGCMMA\setup.pyc (875, 2017-09-28)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyGCMMA\__init__.py (112, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyKSOPT\pyKSOPT.py (14480, 2014-08-01)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyKSOPT\setup.py (610, 2012-08-11)
pyOpt-1.2.0\build\lib.win-amd64-2.7\pyOpt\pyKSOPT\setup.pyc (875, 2017-09-28)
... ...
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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