gpops(hamiltonian)

所属分类:数值算法/人工智能
开发工具:Windows_Unix
文件大小:49136KB
下载次数:21
上传日期:2016-08-15 12:48:11
上 传 者tes_eee
说明:  大部分GPOPS工具包都不包含哈密顿函数,本文在上述基础上,增加了哈密顿函数的求解,方便显示和验证结果的最优性!
(Most GPOPS kit does not include the Hamiltonian function, in this paper, based on the above, the increase in the solution of the Hamiltonian function, convenient optimal display and verify the result of!)

文件列表:
gpops(涵哈密顿函数)\ad\@ad\abs.m (274, 2011-08-10)
gpops(涵哈密顿函数)\ad\@ad\acos.m (266, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acosd.m (282, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acosh.m (268, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acot.m (263, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acotd.m (280, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acoth.m (265, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acsc.m (290, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acscd.m (305, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\acsch.m (313, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\ad.m (610, 2011-08-01)
gpops(涵哈密顿函数)\ad\@ad\adconstant.m (300, 2011-08-03)
gpops(涵哈密顿函数)\ad\@ad\asec.m (289, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\asecd.m (306, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\asech.m (285, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\asin.m (265, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\asind.m (281, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\asinh.m (268, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\atan.m (261, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\atan2.m (204, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\atand.m (277, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\atanh.m (264, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\compositeDerivative.m (308, 2011-08-03)
gpops(涵哈密顿函数)\ad\@ad\cos.m (251, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\cosd.m (274, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\cosh.m (257, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\cot.m (259, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\cotd.m (282, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\coth.m (261, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\cross.m (8887, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\csc.m (279, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\cscd.m (308, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\csch.m (278, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\ctranspose.m (400, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\diag.m (590, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\display.m (569, 2011-08-01)
gpops(涵哈密顿函数)\ad\@ad\dot.m (980, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\end.m (96, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\eq.m (242, 2011-07-22)
gpops(涵哈密顿函数)\ad\@ad\exp.m (257, 2011-07-22)
... ...

-------------------------------------------------------------------- README for General Pseudospectral Optimization Software (GPOPS): Authors: Anil V. Rao, David A. Benson, Geoffrey Huntington, Christopher Darby, Michael Patterson, & Camila Francolin Version Number: 4.1 Date: July 2011 -------------------------------------------------------------------- -------------------------------------------------------------------- Copyright (c) 2008-2011 by The Authors -------------------------------------------------------------------- ---------------------------------------------------------------------- WARRANTY: This software comes with absolutely no warranty that it will work for any particular purpose. Furthermore, the author is not responsible for any harm that may result as a result of using this software in any application and assumes no responsibility whatsoever for any damage caused by the use of the software or any derivative software. ---------------------------------------------------------------------- -------------------------------------------------------------------- GPOPS is an OPEN-SOURCE pseudospectral optimal control software. GPOPS was written by the authors beginning in 2008. The GPOPS code has been written by the authors and all algorithms used in GPOPS are taken from the open literature. No proprietary, confidential, or otherwise restricted information has been knowingly used by any of the authors in the creation or development of GPOPS. -------------------------------------------------------------------- -------------------------------------------------------------------- REQUIRED THIRD-PARTY PRODUCTS: GPOPS is now self-contained and does not require any third-party products (with the single exception of MATLAB itself). RECOMMENDED THIRD-PARTY PRODUCTS: While not required, to improve performance it is highly recommended that users obtain the automatic differentiation package INTLAB. INTLAB is available for internal or non-commercial use by visiting the website http://www.ti3.tu-harburg.de/rump/intlab/. Commercial or other use of INTLAB requires a license for which you must contact Professor Siegfried Rump at rump@tu-harburg.de. --------------------------------------------------------------------

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