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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

control of motor in matlab simulink

MasterCard CAP: cap fa final 2007.pdf CAP-FA_SummaryOfChanges_2004-2006_v0-1.pdf

一个用于模拟多晶粒长大的元胞自动机的源程序(A cellular automata is used to simulate the grain growth more source program)

标准AM振幅调制方式，ma=1时的标准AM振幅调制(Standard AM amplitude modulation, ma = 1 the standard AM amplitude modulation)

三维时钟。很漂亮，很好看，很励志，而且和本机时间一致，走的很准！(3D clock)

matlab程序设计模拟仿真源码matlab programming simulation source(matlab programming simulation source matlab programming simulation source)

FIR Low pass filter simulation using matlab

说明：  本程序为利用matlab求解微分方程的源程序及相关例子。(the procedures for the use of Matlab to solve the differential equation of the source and relevant examples.)

给定离散地震动加速度数据a、反应谱控制周期点tp、离散时间间隔dt、阻尼比z，计算地震动加速度反应谱rspa以及最大反应值出现的时刻tMax。(Given the discrete ground-motion acceleration data a, the response spectral controlling period tp, the discrete time distance dt, and the damping ratio z, calculate the ground-motion acceleration response spectrum rspa and the time loction of the occurrence of maximum response.)