LinearBarElement

弗洛伊德算法最短距离的实现，输入为邻接矩阵，输出为最短距离矩阵。(Freud' s realization of the algorithm for the shortest distance, enter the adjacency matrix output for the shortest distance matrix.)

非线性振动.pdf 刘延柱编写 恢复力与位移不成正比或阻尼力不与速度一次方成正比的系统的振动。尽管线性振动理论早已相当完善,在工程上也已取得广泛和卓有成效的应用，但在实际问题中，总有一些用线性理论无法解释的现象。一般说，线性模型只适用于小运动范围，起出这一范围，按线性问题处理就不仅在量上会引起较大误差，而且有时还会出现质上的差异，这就促使人们研究非线性振动。(Nonlinear Vibration. Compilation of PDF Liu Yanzhu)

数学中的通径分析问题，主要用于数学实验方面，计算数学中的数据分析(Path analysis of mathematical problems in)

有关FFT的应用仿真,包括：FFT处理仿真、FFT加窗、FFT分辨率、频谱泄露 (Simulation on the application of FFT )

说明：  此代码包括牛顿法和梯度下降法的实现过程，最优化以及算法中常见的问题解决方式(This code includes the process of Newton method and gradient descent method)

一般矩阵的schur分解，编译即可运行，需要文件输入(schur decomposition, the program can run successfully, you need a file for input)

书籍工程电磁场数值计算，包括有限差分法、有限元法、矩量法和边界元法以及电磁场的逆问题(Engineering books electromagnetic field numerical calculation, including the inverse problem of the finite difference method, finite element method, the method of moments and the boundary element method, and electromagnetic fields)

迭代的动力缩聚法计算结构的前两阶频率和阵型（4个自由度）(Iterative dynamic condensation method to calculate the structure of the first two natural frequencies and formation (4 degrees of freedom))

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

基于热焓法的凝固传热模拟的UFluent-UDF程序(UDF for Modelling Soldification using Enthalpy Porosity Technique)