Unconstrained-optimization-method

  本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解，以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍，并对各种方法进行了Matlab编程实验，得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序，非常适合初学者学习与研究。(The resources are mainly in the matrix decomposition LU decomposition, LDL decomposition, Cholesky decomposition, and unconstrained optimization field steepest descent method, Newton s method, the principle of quasi-Newton methods, procedures and algorithms are briefly introduced, and various methods of Matlab programming experiment, get a better result. This resource contains a matrix decomposition and unconstrained optimization methods Introduction to the principles and applications which uses all the documents and Matlab program, ideal for beginners learning and research.)

Funval.m,385,2013-06-17
LU1.m,330,2013-06-16
minBFGS.m,1084,2013-06-19
minDFP.m,1075,2013-06-19
minFD.m,602,2013-06-19
minHJ.m,610,2013-06-17
minJT.m,617,2013-06-17
minNT.m,503,2013-06-19
MyChol.m,303,2013-06-19
MyLDLT.asv,402,2013-06-19
MyLDLT.m,515,2013-06-19
m_chol.m,464,2013-06-17
shiyan.asv,1024,2013-06-19
shiyan.m,1024,2013-06-19
TD.m,690,2013-05-24
ZJH.asv,273,2013-05-24
ZJH.m,288,2013-05-24
矩阵分解及无约束最优化方法.doc,648192,2013-06-20