资源列表
Particle_4
- 粒子滤波的重要性是不言而喻的。它不仅能处理高斯线性的还能处理非高斯非线性的。本程序是另一个版本的matlab代码的第二部分。-The importantce of particle filter is obvious. It can process not only linear gaussian system but also nonliear system. This is another version matlab source of particle filter and is the
graph
- 现实生活中有很多关于流量的问题，比如说公路系统的车辆流，供水系统的水流，金融系统的金流等等。为了解决这些关于流量的问题，我们需要学习一系列关于流量的算法。-In real life there are many issues on the flow, such as road traffic flow system, water supply system, financial system, cash flow and so on. In order to solve these issues
game_theory
- 博弈是信息学和数学试题中常会出现的一种类型，算法灵活多变是其最大特点，而其中有一类试题更是完全无法用常见的博弈树来进行解答。-Game information science and mathematics test there a type of the Central Standing Committee, the algorithm is the largest flexible features, which is a class of questions can not be enti
thesis2002_zhangyifei
- 张一飞论文 人们认识事物的过程中，开始只是看到了各个事物的现象。这就是认识的感性阶段。在这个阶段中，还不能作出合乎逻辑的结论。 随着研究的深入，这些感觉和印象的东西反复了多次，于是在人们的脑子里生起了一个认识过程中的突变，最后产生出合乎逻辑的结论。这就是认识的理性阶段。-Zhang Yi-fei paper learn about the things people in the process of the beginning of all things just to see
report
- 2006届中国信息学奥林匹克联赛提高组解题报告，详细介绍题目算法和编程难度-China 2006 Olympic League informatics group problem-solving to improve the report details the difficulty of the subject algorithm and programming
IvAdLor
- C-code for adaptive Runge-Kutta-Fehlberg integrator for Lorenz Butterfly Attractor.
follow
- 资料介绍了图论算法中最重要的定理之一的最小个最大流定理-Information on the graph theory algorithm, one of the most important theorem of the minimum of maximum flow theorem
math
- 介绍了数论的相关知识，是acm/icpc学习和比赛的必备知识-Introduced a knowledge of number theory is acm/icpc learning and knowledge play an essential
geometry
- 列举了很多几何公式，是学习计算几何非常有用的东西-Listed a number of geometric formulas, computational geometry is very useful to learn something
Untitled2
- 具有吸收边界FDTD,适用多种处理器上能够保证正常实行。 -With absorbing boundary FDTD, the application of multiple processors to ensure the implementation of the normal.
recognaztion
- 在线签名鉴定，时间弯折算法，签名分段算法，自回归分析-Online signature identification, time bending algorithm, a signature sub-algorithm, since the regression analysis