文件名称:Optimization-method
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最优化方法及其Matlab程序设计，乘子法程序，非线性最小二乘问题源码，最速下降法与牛顿法源码-Optimization method and Matlab programming, multiplier method procedures, non-linear least squares problem source, the steepest descent method and Newton' s law code, etc.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Matlab程序\dfun1.m
..........\dgfun1.m
..........\dhfun.m
..........\dpfun.m
..........\ff.m
..........\fun.m
..........\fun1.m
..........\gfun.m
..........\gfun1.m
..........\gg.m
..........\gradd.m
..........\Hess.m
..........\hfun.m
..........\phi.m
..........\SQP方法\lagsqp.asv
..........\.......\lagsqp.m
..........\.......\newtlagr.asv
..........\.......\newtlagr.m
..........\.......\qpsubp.asv
..........\.......\qpsubp.m
..........\.......\sqpm.asv
..........\.......\sqpm.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\fun.m
..........\..........\gfun.m
..........\..........\Hess.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\dampnm.m
..........\..................\fun.m
..........\..................\gfun.m
..........\..................\grad.m
..........\..................\Hess.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
..........\SQP方法
..........\乘子法程序
..........\二次规划
..........\信赖域方法
..........\共轭梯度法
..........\拟牛顿法
..........\最速下降法与牛顿法
..........\线搜索技术
..........\非线性最小二乘问题
Matlab程序
..........\dgfun1.m
..........\dhfun.m
..........\dpfun.m
..........\ff.m
..........\fun.m
..........\fun1.m
..........\gfun.m
..........\gfun1.m
..........\gg.m
..........\gradd.m
..........\Hess.m
..........\hfun.m
..........\phi.m
..........\SQP方法\lagsqp.asv
..........\.......\lagsqp.m
..........\.......\newtlagr.asv
..........\.......\newtlagr.m
..........\.......\qpsubp.asv
..........\.......\qpsubp.m
..........\.......\sqpm.asv
..........\.......\sqpm.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\fun.m
..........\..........\gfun.m
..........\..........\Hess.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\dampnm.m
..........\..................\fun.m
..........\..................\gfun.m
..........\..................\grad.m
..........\..................\Hess.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
..........\SQP方法
..........\乘子法程序
..........\二次规划
..........\信赖域方法
..........\共轭梯度法
..........\拟牛顿法
..........\最速下降法与牛顿法
..........\线搜索技术
..........\非线性最小二乘问题
Matlab程序