拟合

说明：  线性判别分析（LDA，全称Fisher Linear Discriminant Analysis）算法的C#实现源码，根据stprtool box for matlab中的LDA.m编写。用到MathNet库做相关的矩阵运算，使用zedgraph控制绘图。有简单的测试数据。( C# source code of linear discriminant analysis (LDA, full name of the Fisher Linear Discriminant Analysis) algorithm , according to LDA.m of stprtool box for matlab . Use MathNet library to do matrix operations,and use zedgraph control for drawing. Thers has a simple test data.)

这是一本关于大型有限元模拟软件ABAQUS的英语书籍，从入门介绍到应用实例，还可以学习英文。如果你需要你一定会喜欢的。(English contents: 1. Introduction 2.Bar Element 3.Beam Element 4.Rigid Jointed Frames 5.Stress and Strain Analysis 6.Weighted Residual Methods 7.Finite Element Approximation 8.Numerical Integration 9.Plane Problems 10.Axisymmetric Problems 11.Thin and Thick Plates )

DCD差分格式求解激波在刚性楔面上反射问题(DCD difference scheme for solving the shock wave in a rigid wedge surface reflection)

详细讨论了INSAR技术中相位解缠最小二乘方法的算法实现；并提出改进的加权最小二乘算法的实现思路(INSAR techniques are discussed in detail in the method of least squares phase unwrapping algorithm and suggestions for improvement of the weighted least squares algorithm implementation ideas)

说明：  本书是为理工科大学各专业普遍开设的“数值分析”课程编写的教材 . 其内容包括插值与逼近 ,数值微分与数值积分 , 非线性方程与线性方程组的数值解法 , 矩阵的特征值与特征向量计算 , 常微分方程数值解法 . 每章附有习题并在书末有部分答案 ,书末还附有计算实习题和并行算法简介 . 全书阐述严谨, 脉络分明 ,深入浅出 ,便于教学 .(This book is a textbook for the course of "numerical analysis" which is widely offered in various majors of universities of science and engineering. Its contents include interpolation and approximation, numerical differentiation and numerical integration, numerical solution of non-linear and linear equations, calculation of eigenvalues and eigenvectors of matrices, numerical solution of ordinary differential equations. At the end of the book, there are some answers. At the end of the book, there are also a brief introduction of computational practice questions and parallel algorithms. The whole book elaborates rigorously, clearly, thoroughly and shallowly, which is convenient for teaching.)

非线性有限元及程序这本书,很有用的，程序也很全面(NONLINEAR FINITE ELEMENT AND PROGRAM)

说明：  求任意一点到任意点的距离的最小值！ 对于求解一些最短距离的问题可以提供一些帮助！(seek any point to any point of the minimum distance! For some of the shortest distance to solve the problem, it can provide some help!)

模糊最小二乘支持向量机，用于剔除偏离较远的数据点，减小野值的影响(Fuzzy least squares support vector machine for the deviation from the data points far removed, to reduce the impact of outliers)

说明：  埃特金不等距插值，有例子，检验过，很顺利(Aitken non-equidistant interpolation, there are examples of tests, it is smooth)

自信车轮压力分析 python 源代码 有限元分析(Wheel of bike ，python Finite Element code)