文件名称:Optimization-ALogirhtms
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常用的最优化方法，包括SQP方法，二次规划，信赖域方法，共轭梯度法等-Commonly used optimization method, including the SQP method, quadratic programming, trust region method, conjugate gradient method
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下载文件列表
Matlab 程序 最优化方法
......................\Hess.m
......................\SQP方法
......................\.......\lagsqp.asv
......................\.......\lagsqp.m
......................\.......\newtlagr.asv
......................\.......\newtlagr.m
......................\.......\qpsubp.asv
......................\.......\qpsubp.m
......................\.......\sqpm.asv
......................\.......\sqpm.m
......................\dfun1.m
......................\dgfun1.m
......................\dhfun.m
......................\dpfun.m
......................\ff.m
......................\fun.m
......................\fun1.m
......................\gfun.m
......................\gfun1.m
......................\gg.m
......................\gradd.m
......................\hfun.m
......................\phi.m
......................\乘子法程序
......................\..........\bfgs.m
......................\..........\df1.m
......................\..........\dg1.m
......................\..........\dh1.m
......................\..........\dmpsi.m
......................\..........\f1.m
......................\..........\g1.m
......................\..........\h1.m
......................\..........\mpsi.m
......................\..........\multphr.m
......................\二次规划
......................\........\callqpact.m
......................\........\qlag.asv
......................\........\qlag.m
......................\........\qpact.asv
......................\........\qpact.m
......................\信赖域方法
......................\..........\Hess.m
......................\..........\fun.m
......................\..........\gfun.m
......................\..........\trustm.m
......................\..........\trustq.m
......................\共轭梯度法
......................\..........\frcg.m
......................\..........\fun.m
......................\..........\gfun.m
......................\拟牛顿法
......................\........\bfgs.m
......................\........\broyden.m
......................\........\dfp.m
......................\........\fun.m
......................\........\gfun.m
......................\........\sr1.m
......................\最速下降法与牛顿法
......................\..................\Hess.m
......................\..................\dampnm.m
......................\..................\fun.m
......................\..................\gfun.m
......................\..................\grad.m
......................\..................\revisenm.m
......................\线搜索技术
......................\..........\armijo.m
......................\..........\golds.m
......................\..........\qmin.m
......................\非线性最小二乘问题
......................\..................\Fk.m
......................\..................\JFk.m
......................\..................\lmm.m