Jacobi

高斯列主元消去、直接分解（LU）matlab小程序(Gauss pivot column, LU decomposition matlab applet)

reflectivity group delay and dispersion of a sampled fiber Bragg grating with periodic phase shifts at each sampling period

说明：  并联机构 机器人 工作空间 刚度 轨迹贵乎啊 (work space)

扩展的kalman 滤波算法，使用matlab进行实现,由国外人士编写(Extended kalman filter algorithm, using matlab to achieve)

projet for jpg & jpg2000 with matlab code

Krinsky Fixed Structure Automata in Cellular Automata Matlab Code

lms滤波算法的MATLAB源代码,lms为变步长最小均方自适应滤波算法(matlab source code of lms algorithm. lms is the least mean square adaptive filter algorithm)

人工势场法避障 实现从势能高出往低处运动 ，实现路径规划 和避障(artificial potential)

迭代自适应Simpson，Lobatto积分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)

基于MATLAB环境下的运用迭代法求解线性方程组的对应的代码 简单易学 便于初学者消化使用(Based on MATLAB environment using iterative method for solving linear equations corresponding code is easy to learn for beginners to use digest)