liyong-matlab

应用蒙特卡罗模拟方法计算期权价格 统计模拟方法亦称蒙特卡罗(Monte-Carlo)方法.因为通常的教科书几乎不涉及 此内容.了解的人不多。听到过的人又常把它看作是统计力学或核物理等学科的专门工具.很少想到这个方法与自己的科研工作有什么关系。 (Application of Monte Carlo simulation method of calculating the option price statistics, also known as Monte Carlo simulation method (Monte-Carlo) methods. Because textbooks are usually almost do not involve this content. Not many people understand. Heard of people often see it as a statistical mechanics or nuclear physics disciplines, such as specialized tools. Rarely thought about this method and their own research work has anything to do.)

说明：  自己编的制作红色小球沿一条带封闭路径的下旋螺线运动的实时动画。(their series produced a small red ball with a closed along the path under the rotating spiral movements of real-time animation.)

这是关于数字水印的嵌入例程！经过调试，可以放心使用！(This is on the digital watermark embedded routines! After debugging, can be assured use!)

说明：  在非合作博弈模型中，经典的k-g算法的迭代次数仿真(In the non-cooperative game model, the number of iterations of the simulation algorithm classic kg)

This ppt contains information about the event management system system. The scope of the project and objectives of the project is also mentioned in this ppt.

如果G的边集E(G)中有个子集M，满足M中的任何两条边 都不邻接，则M就是图G的一个匹配。包含边数最多的匹配 称为最大匹配，最大匹配所包含的边数称为最大匹配数。当 G是二分图时，问题就比较特殊了，这就是我们要解决 的问题——最大二分匹配。(If there is a subset M in the edge set E (G) of G, if any two edges in M are not adjacent, then M is a match of graph G. The match with the largest number of edges is called the maximum matching, and the number of edges contained in the maximum matching is called the maximum matching number. When G is a two point graph, the problem is very special. This is the problem we want to solve -- the biggest two points matching.)

基于相量测量的输电线路故障测距新算法 关键词：相量测量；线路参数；故障测距(PMU for Transmission Line Fault Location Algorithm Key words: phase measurement line parameters fault location)

数字图像处理,基于MATLAB 语言上万图像处理系统(DIGITAL IMAGE PROCESSORE AANDF)

介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。(Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.)

通过求解Chirstoff方程，求解出材料的群速度和慢度面(compute the sowless and group velocity)