Heli_Da_Y

算法，采用Dijk算法，求网络所有点的最短路径和网络的平均最短路径(Algorithm, using Dijk algorithm, and all points of the shortest network path and the average shortest path network)

说明：  H桥DCDC+H6DCACmatlab仿真(DCDC+H6DCAC Matlab Simulation)

这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。如书名所示,本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。 本书只涉及一般读者所用到的一些专题,所提供的资料可用于包括UNIX工作站、Macintosh 和PC在内的所有计算机平台。除了标准的MATLAB本身这部分的功能之外,书中只讨论了字符工具箱。其它更为专用的工具箱没有进行讨论。而且,没有讨论与机器有关的MATLAB诸方面,例如MEX文件的编写。 本书开发了许多M文件函数,它扩展了MATLAB的功能。在书中,作者演示了各种MATLAB的功能和编程技术,它们总称为精通MATLAB的工具箱。 (This a reference book on MATLAB. suitable for use MATLAB or intend to use MATLAB readers. The book can take advantage of alternatives to using MATLAB or not accompanied by the documents and information for readers to self- MATLAB. The book colloquial style, so that readers easily readable. As indicated in the title, this book provides readers proficiency in the necessary tools for MATLAB. As a programming language and visualization tools, MATLAB is rich in a variety of functions, address, Scientific Computing and Mathematics subjects of many of the problems. The book's basic aim is to show readers how to effectively use these functions to help users enhance their ability for work. As MATLAB interactive nature of the book as a way of example to describe. In the book readers at the s)

关于拉曼光纤激光器超连续谱的仿真程序，欢迎大家下载楼！(this is about supercontinue spectrum.)

Eigenvectors and their geometric multiplicity.

用Matlab实现完美求相位和幅度，可用作标准函数(Seeking to use Matlab to achieve perfect phase and amplitude can be used as standard function)

RungeKutta method for nonlinear system dynamic analysis

This code is face localization programme. It reads faces from yale database and localize the face in the image.

constrast streching gonzales

改程序为基于核函数的主成分分析算法的MATLAB实现程序,对于学习KPCA有很大帮助(This program is the MATLAB program which is based on the kernel principal component analysis )