YALMIP
所属分类：matlab编程
开发工具：matlab
文件大小：1044KB
下载次数：79
上传日期：2011-12-28 15:37:50
上 传 者：
turtlego
说明： 用matlab解线性规划,整数规划，非线性规划，混合规划以及其它的规划推荐使用YALMIP，它是matlab的工具箱.
(Using matlab for solving linear programming, integer programming, nonlinear programming, mixed planning and other planning recommended YALMIP, it is the matlab toolbox.
)
文件列表:
yalmip (0, 2011-11-28)
yalmip\@sdpvar (0, 2011-11-28)
yalmip\@sdpvar\xor.m (2635, 2010-04-28)
yalmip\@sdpvar\sethackflag.m (201, 2010-04-28)
yalmip\@sdpvar\isreal.m (160, 2010-04-28)
yalmip\@sdpvar\cut.m (739, 2010-04-28)
yalmip\@sdpvar\find.m (102, 2010-04-28)
yalmip\@sdpvar\vec_replace.m (3018, 2010-04-28)
yalmip\@sdpvar\pow10.m (1096, 2010-04-28)
yalmip\@sdpvar\erfcx.m (779, 2010-04-28)
yalmip\@sdpvar\uncertain.m (522, 2010-05-27)
yalmip\@sdpvar\permute.m (241, 2010-04-28)
yalmip\@sdpvar\mid.m (49, 2010-04-28)
yalmip\@sdpvar\see.m (1362, 2010-04-28)
yalmip\@sdpvar\end.m (536, 2010-04-28)
yalmip\@sdpvar\sparse.m (935, 2010-08-11)
yalmip\@sdpvar\sqrtm_internal.m (1657, 2010-04-28)
yalmip\@sdpvar\toeplitz.m (629, 2010-04-28)
yalmip\@sdpvar\flush.m (86, 2010-04-28)
yalmip\@sdpvar\negatefactors.m (157, 2010-04-28)
yalmip\@sdpvar\hankel.m (507, 2010-04-28)
yalmip\@sdpvar\cone.m (1278, 2010-09-02)
yalmip\@sdpvar\rad.m (49, 2010-04-28)
yalmip\@sdpvar\convexhull.m (40, 2010-04-28)
yalmip\@sdpvar\getbasevectorwithoutcheck.m (271, 2010-04-28)
yalmip\@sdpvar\factored.m (65, 2011-09-02)
yalmip\@sdpvar\sdp2mat.m (213, 2010-04-28)
yalmip\@sdpvar\eig.m (917, 2010-04-28)
yalmip\@sdpvar\abs.m (2447, 2011-03-16)
yalmip\@sdpvar\min.m (4694, 2010-04-28)
yalmip\@sdpvar\extractkyp.m (282, 2010-04-28)
yalmip\@sdpvar\real.m (1139, 2011-01-19)
yalmip\@sdpvar\shiftdim.m (443, 2010-04-28)
yalmip\@sdpvar\cos.m (1849, 2010-04-28)
yalmip\@sdpvar\isinterval.m (178, 2010-04-28)
yalmip\@sdpvar\relaxdouble.m (652, 2010-04-28)
yalmip\@sdpvar\acosh.m (924, 2010-04-28)
yalmip\@sdpvar\brutepersp.m (300, 2010-04-28)
yalmip\@sdpvar\exp.m (1343, 2010-04-28)
yalmip\@sdpvar\size.m (615, 2010-04-28)
... ...
*****************************************
6 steps towards a successful installation
*****************************************
1)
Remove any old version of YALMIP
2)
unzip yalmip.zip. This should create the structure
/yalmip
/yalmip/@sdpvar
/yalmip/extras
/yalmip/demos
/yalmip/solvers
/yalmip/modules
/yalmip/operators
3)
Put the following paths in your MATLAB path
/yalmip
/yalmip/extras
/yalmip/demos
/yalmip/solvers
/yalmip/modules
/yalmip/modules/parametric
/yalmip/modules/moment
/yalmip/modules/global
/yalmip/modules/robust
/yalmip/modules/sos
/yalmip/operators
Most easily done either via the gui or addpath(genpath('yourlocation/yalmip'))
4)
Make sure to have the desired solvers in your path.
5)
Restart Matlab, or at least type "clear classes".
6)
Run yalmiptest.m and everything should work (as long as you have the
necessary solvers). Run yalmipdemo for some examples and a brief tutorial.
The on-line Wiki http://control.ee.ethz.ch/~joloef/wiki/pmwiki.php is recommended
*****************************************
Comments and bug-reports are higly appreciated.
Johan Lfberg, Linkping University
johanl@isy.liu.se
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