by nicholas J. Higham 非PDF格式，要用WinDjView打开

高斯牛顿继承法matlab代码数值分析 数值分析代码 HW_1（Python） 括弧法 二等分法 错误位置法 开放方式 简单的定点方法 牛顿-拉普森法 割线法 HW_2（Matlab） 高斯消除 天真高斯消除 迭代方法 高斯塞德尔法 Jacobi迭代法 HW_3（Matlab） 多项式插值 使用分割插值 HW_4（Matlab） 数值积分 梯形法则 辛普森1/3法则 辛普森3/8规则 高斯-勒让德式 数值微分 有限正向衍射 向后扩散 中心衍射

A First Course in NumeriCAl methods uri m. Ascher Chen Greif the university of British Columbia Vancouver, British Columbia, Canada

Numerical Methods for Ordinary Differential Equations - J.C. Butcher (2003) WW.djvu

主要讲解用MATLAB实现数值分析的方法，简单明了

This textbook provides a step-by-step approach to numerical methods in engineering modelling. The authors provide a consistent treatment of the topic, from the ground up, to reinforce for students that numerical methods are a set of mathematical modelling tools which allow engineers to represent real-world systems and compute features of these systems with a predictable error rate. Each method presented addresses a specific type of problem, namely root-finding, optimization, integral, derivative, initial value problem, or boundary value problem, and each one encompasses a set of algorithms to solve the problem given some information and to a known error bound. The authors demonstrate that after developing a proper model and understanding of the engineering situation they are working on, engineers can break down a model into a set of specific mathematical problems, and then implement the appropriate numerical methods to solve these problems

关于LBM-DEM耦合分析的博士论文，原版为法文，此版本为中文翻译版

JAMC_Numerical results_JCJL

JAMC_Numerical results_JCJL

JAMC_Numerical results_JCJL