FastLaplace

说明：   该电路由一片四双向模拟开关集成电路CD4066为核心构成。每个电路内部有四个独立的能控制数字或模拟信号传送的开关。当水箱无水时，由于180K电阻的作用，使四个开关的控制端为低电平，开关断开，LED 不发光。随着水位的增加, 由于水的导电特性，使得IC的13脚为高电平，S1接通，LED1点亮。当水位逐渐增加时，LED依次发光指示水位。水满时， LED4发光， 显示水满。同时T1导通， B发出报警声，提示水已满。不需要报警声时，断开开关K即可。 (The circuit consists of a four-way analog switch integrated circuit CD4066 core composition. Within each circuit to control four separate digital or analog signal transmission in the switch. When the tank water, the role of the 180K resistor, so that the four low-side switch control, switch off, LED does not light. As the water level increases, the electrical properties of water, making the IC' s 13 feet high, S1 connected to, LED1 lights up. When the water level gradually increased, LED turn light level indication. Is full of water, LED4 LED display full of water. At the same time conducting T1, B alarm will sound, indicating that the water is full. Do not need to sound the alarm when the disconnect switch K can be.)

粒子群优化算法 的matlab代码，其中基本上可以运行的。(pso matlab)

一个有关人脸识别的程序，是PCA和SVM的，可以运行(a code about face recognition)

CCA代码，典型相关分析代码，可用于人脸识别分析(CCA code, canonical correlation analysis code can be used for multimedia)

generates curvelet filtered image

Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)

说明：  Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)

介绍关于matlab与vc之间的通讯接口，以及如何实现它们之间的转换。(briefed on Matlab and vc communications between the interface, and how to achieve the conversion between them.)

Description: Matlab examples for a seminar in stochastic simulation: http://www.math.uu.se/~ikaj/courses/matlab/ ############### Installation: After decompressing, run stsimpath.m in the main directory. Alternatively, you may add to your startup.m: addpath( path_to_stsimbm , ... path_to_stsimcounting , ... path_to_stsim anvar , ... path_to_stsim tree, ... path_to_stsimservice , ... path_to_stsimstproc , ... path_to_stsim eletraffic , ... path_to_stsimwaxman ) Any suggestions or comments are welcome.

说明：  附件结构: gatbx.rar: (1)gatbx-origin.zip (2)gatbx-toolbox.rar (3)gatbx-example.rar 第一章 遗传算法概述 第二章 基本遗传算法及改进 11 第三章 遗传算法的理论基础 34 第四章 遗传算法的基本原理与方法 45 第五章 遗传算法工具箱函数 62 第六章 遗传算法工具箱的应用 95 第七章 遗传算法应用举例 107 第八章 使用MATLAB遗传算法工具 146 第九章 使用MATLAB直接搜索工具 208 参考文献 259(Attachment structure: gatbx.rar: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar Chapter Overview Chapter II Basic Genetic Algorithm Genetic Algorithm and Improved genetic Chapter 11 algorithm theory Chapter 34 basic principles of genetic algorithms and genetic algorithm methods 45 Chapter 62 Chapter toolbox functions the application of Genetic Algorithm Toolbox Genetic Algorithm 95 of Chapter VII Chapter VIII for example 107 using the MATLAB Genetic Algorithm Chapter 146, using the MATLAB tool search tool directly reference 259 208)