untmee_convDiff_implicit

fully vectorised calculation of distances from a given set of points to a set of segments

SCE 的源代码，希望大家多支持..........................(SCE' s source code, I hope you will support ..........................)

分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。(Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine the decision rules to identify with the ability of automatic classification. This paper introduces the Parzen window method using a random pattern classifier, and achieved a simple matlab random pattern classifier.)

Traveling Salesman Problem (TSP) Nearest Neighbor tour construction

puma机械臂的运动仿真实例，主要设计运动学和动力学(puma manipulator motion simulation, kinematic and dynamic main design)

GTRACK Track mouse position and show coordinates in figure title. GTRACK Activates GTRACK. Once it is active the mouse position is constantly tracked and printed on the figure title. A left-click will print the coordinates in the command line and store them.

Type-1 fuzzy sets theory was proposed to handle uncertainty in control systems. But some cases showed some liabilities of Type-1 fuzzy sets when facing with unpredictable disturbance and uncertainties. Therefore Type-2 fuzzy sets was introduced and extended while providing more degrees of freedom in designing criteria. The most important specification of Type-2 fuzzy sets is the interval between a superior membership function and an inferior membership function which is called footprint of uncertainty. This paper presents a Bacterial Foraging Optimization approach for optimizing the parametrized membership function. The above criterion is applied to an Automatic Voltage Regulator system and results are presented and compared with previous method.

Boundary element method function [index,g,h,a,unb,x,u,un,uin]=bemlabecom(n,c,index,in,cin) [index,g,h,a,unb,x,u,un,uin]=bemlabecom(16,[0 0 0.25 0 0.5 0 0.75 0 1 0 1 0.25 1 0.5 1 0.75 1 1 0.75 1 0.5 1 0.25 1 0 1 0 0.75 0 0.5 0 0.25 0 0],[1 0 1 0 1 0 1 0 0 200 0 200 0 200 0 200 1 0 1 0 1 0 1 0 0 100 0 100 0 100 0 100],9,[0.25 0.25 0.50 0.25 0.75 0.25 0.25 0.50 0.50 0.50 0.75 0.50 0.25 0.75 0.50 0.75 0.75 0.75]) in bemlabecom2 we change a & unb to : a1 a2,unb1 unb2 n=number of nodes=number of element=number of point c=matrix that determine the coordinate of point m=coordinate of nodes in global coordinates index: determine u or un for boundary nodes in:number of internal nodes cin: coordinate of internal nodes

压缩感知：2维图像的压缩感知SL0重构算法，是本人精心编写调试好的，请放心使用。(cs:2 dimensional image compressive Sengsing uingsing SL0 reconstruction algorithm )

说明：  一个和数据库连接的差别矩阵matlab源代码，自己编写的，有需要的可以看看。(And the difference between a database connection matrix matlab source code, I have written, and there is a need that can take a look at.)