newton-raphson

Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex -setup have been done at least one) Run demo "test_yael_kmeans.m"(Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex-setup have been done at least one) Run demo "test_yael_kmeans.m")

MATLAB PDE的一个例子 源程序 可以了解MATLAB在处理二阶偏微分方程时的一些有用思路(MATLAB PDE An example of MATLAB source code can be understood when dealing with second-order partial differential equations with some useful ideas)

DS CDMA simulation matlab source code

几个数组基本相加的脚本文件和函数文件 几个if循环的脚本文件(array and if circulation)

本程序库为《matlab7.x数字信号处理》配套光盘程序，给出了数字信号处理常用算法的matlab程序，具有一定的参考价值！(This procedure library )

微分方程的求解代码，包括单微风方程，微分方程组。(Differential equation code, including the single breeze equation, differential equations.)

基于遗传算法的车间调度的MATLAB实现，很好改进，实用(MATLAB implementation of job shop scheduling based on genetic algorithm is very good and practical.)

fuzzy hidden Markov model

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

说明：  VISUAL C++与MATLAB 混合编程及接口调用，麻烦给我早点开通，(VISUAL C and Matlab interface and called for the trouble I opened earlier, thank you)