laplacian_eigenmaps

说明：  基于matlab平台编写的微分进化算法，可用于电力系统问题优化(Based on matlab platform written in differential evolution algorithm can be used for optimization of power system problems)

对随机噪声基本理论理解比较经典的论文，喜欢的同学可以下(Understanding of the basic theory of random noise more classic papers, students can enjoy under the)

Use Adams-Bashforth second-order method to solve a system of first-order ODEs y =f(x,y).

Matlab程序有限差分法\Gauss_Seidel迭代法的Matlab程序.rar(Matlab procedures finite difference method Gauss_Seidel iteration of the Matla b procedures. rar)

变压器经济运行分析软件，基于matlab的 GUI界面，填入变压器参数，运行即得到运行曲线和标注的最经济运行点。(Economic performance analysis of transformer)

This file contains the typedef s of toc data structure.

形态学处理 包括开运算，闭运算，边缘检测，重构等　matlab源码(Morphological opening treatment, including operations, closing operation, edge detection, reconfiguration, such as source code matlab)

General APSK system via matlab

MATLAB 辛苦攒下的十大经典算法，这是M源码。(MATLAB algorithms classic source)

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.