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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