RBF-neuro-network

这四个程序分别为高斯消去法、列主元消去法、全主元消去法解线性方程组和Gauss-Jordan消元法求矩阵的逆。 　　程序采用MATLAB语言开发，并在MATLAB6.5下测试通过。(The four procedures were Gaussian elimination, elimination method out PCA, PCA-wide elimination method solution of linear equations and Gauss-Jordan elimination method of inverse matrix. Procedures for the use of MATLAB language development, and under MATLAB6.5 test.)

图像处理MATLAB数字图像处理书籍\(Image Engineering (Volume)- Tsinghua University)

Filtros Ma t lab trae varios filtros para series de tiempo

Algorithms for Image Processing and Computer Vision 2nd

Math Paramteric eqations

是信号处理的基础，大学数值分析算法，一种基于多文档得图像合并技术。( Is the basis of the signal processing, University of numerical analysis algorithms, Based on multi-document image obtained combining technique.)

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)

双层规划模型的遗传算法求解的Matlab源码(GA for Bilevel Programming Model with Matlab)

生成M序列的经典代码，可以生成不同基数的M序列(Generation M sequence of the classic code, and can form the base sequence M)

本例用五点差分法求解一个二阶偏微分方程，其间用SOR迭代求解(This example uses a five-point difference method for solving second order partial differential equations, with the SOR iterative solution during)