c_mean

迭代学习控制算法的matlab程序，单输入单输出的。(Iterative learning control algorithm matlab procedures, single-input single-output.)

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)

用matlab的算法，实现MUSIC时间反演，主要用于信号处理中的相关问题(MUSIC time reversal matlab algorithm, mainly used for signal processing issues related to)

A finite element fortran code for 2-D truss

Fortran算法集徐士良版，数值模拟，矩阵运算、线性方程求解、非线性方程求解、插值、数值积分(Fortran algorithm set Xu tillian version, numerical simulation, calculation of matrix, linear equations, nonlinear equations, interpolation, numerical integration)

godunov方法求解burgers方程,Toro书上的源代码翻译成MATLAB(burgers equation godunov method, Toro books translated into the source code for MATLAB)

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.)

薄板样条，一种很好的拟合曲线的方法。是最近比较常用的拟合方法。(thin plate spline is so nice fitting method. Features: (1) support arbitrary control points (2) allow regularization (3) estimate the warp parameters from corresponding pairs )

matlab编写的流体计算和传热程序(很不错的哦)(matlab prepared and heat transfer fluid calculation procedures)

Legendre polynomial fitting(勒让德多项式拟合) 该算法程序找出N阶勒让德多项式你的的权值系数 (Legendre polynomial fitting (Legendre polynomial fitting) procedures to identify the algorithm N-order Legendre polynomials your weight coefficient)