Untitled

Lagrange interpolation, Heun...

最新粒子群matlab算法，适用性强，傻瓜式套用(New particle swarm algorithm matlab, applicability, Fool Apply)

模拟退火算法——组合优化 模拟退火算法主要用于解决组和优化问题，它是模拟物理中晶体物质的退火过程而开发的一种优化算法。在对固体物质进行模拟退火处理时，通常先将它加温熔化，使其中的粒子可自由运动，然后随着温度的逐渐下降，粒子也逐渐形成了低能态的晶格。若在凝结点附近的温度下降速率足够慢，则固体物质一定会形成最低能态的基态。 对于组合优化问题来说，它也有这样的类似过程。组合优化问题解空间中的每一点都代表一个具有不同目标函数值的解。所谓优化，就是在解空间中寻找目标函数最小（大）解的过程。若把目标函数看成能量函数，某一控制参数视为温度 T，解空间当作形态空间，那么寻找基态的过程也就是求目标函数极小值的优化过程。 (Simulated annealing algorithm- combinatorial optimization Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state. For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a)

在地震勘探中，利用matlab实现雷克子波及其振幅的输出，用于合成地震记录。。(In seismic exploration, using matlab Ricker waves and the amplitude of the output for the synthetic seismogram. .)

说明：  多通信模式的分布式测控系统设计与应用Multiple communication modes based on Distributed Control System Design and Application(Multiple communication modes based on Distributed Control System Design and Application)

说明：  有关MATLAB遗传算法工具箱的一些源代码(MATLAB genetic algorithm toolbox on some source code)

说明：  matlab手册，包括一些典型的算法，供大家参考(matlab manual for your reference)

　　数字信号处理是一门以算法为核心，理论和实践性较强的学科。是电子信息工程、通信工程、电子信息科学与技术专业的一门重要的专业技术基础课。数字信号处理课程是在学习完数字信号处理的相关理论后，进行的综合性训练课程，其目的是： 1、使学生进一步巩固数字信号处理的基本概念、理论、分析方法和实现方法； 2、增强学生应用Matlab语言编写数字信号处理的应用程序及分析、解决实际问题的能力。(Digital signal processing is an algorithm as the core theoretical and practical strong discipline. Electronic and Information Engineering, Communication Engineering, Electronic Information Science and Technology, professional an important professional and technical basic courses. Digital Signal Processing is a comprehensive training course in learning digital signal processing theory, its purpose is: 1 to enable students to further consolidate the basic concepts of digital signal processing, theory, analysis and implementation enhance the students to apply the Matlab language to the application of digital signal processing and analysis, ability to solve practical problems.)

for some reason the last part is id, which i don t want and the parts seem to be in the reverse order the one in which we find the data itself.

用相似性方法做的特征点的匹配，比较了SSD与SAD方法的各自效果。(feature points matching method used by the similarity, and comparing the respective effects of the SSD and SAD methods.)