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.