Deep-Learning

计算方法实验，通过编程实现埃特金加速法，一般迭代法，牛顿法的收敛次数的计算(calculated experiment, Programming Aitken acceleration method, the general iterative method, the convergence of Newton's method of calculating the number of)

optimization engineering text book by s.s.rao

实现用fluent udf自定义k~e方程(Define the k~e equation by using fluent udf function.)

基于最小二乘的多项式拟合法的GPS周跳探测程序(Based on the least square polynomial fitting method of GPS cycle slip detection program )

用基于主元分析的方法对被控过程进行建模，可以消除变量之间的贡献性。(Accused of process modeling method based on principal component analysis, contribution between the variables can be eliminated.)

基于GWBASIC实现的无约束寻优算法，内附GWBASIC主程序和说明(Non-binding on GWBASIC achieve optimization algorithm, the main program and instructions included GWBASIC)

说明：  基于高斯赛德尔法的线性方程组解法（可消去系数矩阵病态）。基于牛顿法及改进的牛顿法实现对 非线性方程的求解。(Based Linear Equations high Sisaideer law (coefficient matrix can be eliminated morbid). Realization of nonlinear equations of Newton' s method for solving and improved Newton method is based.)

以前用VB6编写的一个计算器，支持常用的数学函数，支持弧度、角度转换，支持简单的函数作图。(A calculator writen by VB6, supports common mathematical functions, support radian, angle conversion, support simple function mapping.)

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)

求实对称矩阵的特征值特征向量，内有读入数据文件。(Realistic symmetric matrix eigenvalue eigenvector, there are read into the data file.)