MOEAD-M2M_Matlab

Newton s method for finding successively better approximations to the roots (or zeroes) of a real-valued function.

This is a PSO toolbox implementing Common, Clerc 1", and Trelea types along with an alpha version of tracking changing environments. It can search for min, max, or distance of user developed cost function. Very easy to use and hack with reasonably good documentation (type help for any function and it should tell you what you need) and will take advantage of vectorized cost functions. It uses similar syntax to Matlab s optimization toolbox. Includes a suite of static and dynamic test functions. It also includes a dedicated PSO based neural

RankNGG 算法实现. 含有dll文件。源码为matlab(RankNgg algorithm implementation .)

基于虚拟力的matlab覆盖算法..虽然还有点缺陷 但完成了一大部分~~~(matlab virtual force)

引导滤波guidedfilter的opencv实现(guidedfilter s opencv version)

求解偏微分方程，使用LF格式求解程序，具体方程见程序(Solution of partial differential equations, using the LF format solver)

卡尔曼滤波实例分析与仿真源代码，帮你熟悉了解卡尔曼滤波原理和编程方法(Analysis and Simulation of Kalman Filtering source code examples to help you become familiar with the Kalman filter theory and programming methods)

针对线性混合信号盲分离时，源信号概率密度与激活函数难以确定时（尤其是源信号中既含超高斯信号，又含亚高斯信号时），依据信号pdf的一种测度--峭度，自适应的确定激活函数，实现信号的盲分离，是一种基于峭度开关的盲分离算法。(Linear mixed-signal for blind source separation, the source signal probability density function with the activation when it is difficult to determine (especially the source of the signal with both super-Gaussian signals, but also with sub-Gaussian signal), signal pdf based on a measure-- Kurtosis, adaptive activation function of determining and achieving blind signal separation, is a switch-based kurtosis blind source separation algorithm.)

用matlab实验k-means算法，对数据进行分类。(Matlab experiments using k-means algorithm to classify the data.)

get the entropy of french book