文件名称:numerical-experiment-one
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最优化最速下降方法，利用了非精确步长搜索 armijo、Wolfe方式，并利用两个算例进行演示-Optimization of steepest descent method, using the inexact search step length armijo, Wolfe method, and the use of two examples for demonstration
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下载文件列表
numerical experiment one\numerical experiment one.aux
........................\numerical experiment one.bbl
........................\numerical experiment one.blg
........................\numerical experiment one.log
........................\numerical experiment one.pdf
........................\numerical experiment one.tex
........................\numerical experiment one.tex.bak
numerical experiment one
........................\FUN2_SDM_Armijo\Armijo_step.m
........................\...............\A_x_b.m
........................\...............\objfun2.m
........................\...............\objfungrad2.m
........................\...............\SDM_Armijo.m
........................\...............\SDM_Armijo_Demon2.m
........................\...............\整合后的\SDM_Armijo2.m
........................\...............\........\SDM_Armijo_Demon2.m
........................\Same init point to the second object function solved by Armijo_Goldstein_Wolfe SDM\Armijo_step.m
........................\...................................................................................\A_x_b.m
........................\...................................................................................\Goldstein_step.m
........................\...................................................................................\objfun2.m
........................\...................................................................................\objfungrad2.m
........................\...................................................................................\SDM_Armijo2.m
........................\...................................................................................\SDM_Armijo_Demon3.m
........................\...................................................................................\SDM_Goldstein2.m
........................\...................................................................................\SDM_Wolfe2.m
........................\...................................................................................\Wolfe_step.m
........................\...................................................................................\整合后\SDM_Armijo2.m
........................\...................................................................................\......\SDM_Armijo_Demon3.m
........................\...................................................................................\......\SDM_Goldstein2.m
........................\...................................................................................\......\SDM_Wolfe2.m
........................\.DM\Armijo_step.m
........................\...\objfun1.m
........................\...\objfungrad1.m
........................\...\SDM_Armijo.m
........................\...\SDM_Demon.m
........................\...\整合后\SDM_Armijo.m
........................\...\......\SDM_Demon.m
........................\FUN2_SDM_Armijo\整合后的
........................\Same init point to the second object function solved by Armijo_Goldstein_Wolfe SDM\整合后
........................\.DM\整合后
........................\FUN2_SDM_Armijo
........................\Same init point to the second object function solved by Armijo_Goldstein_Wolfe SDM
........................\SDM