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包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

ode problemds in mathematic

一些常用数值分析程序，希望对大家有所帮助。(some commonly used numerical analysis procedures, we hope to help.)

说明：  采用平面波展开法计算2维光子晶体的能带图(The plane wave expansion method two-dimensional photonic crystals with map)

自己编写的matlab GUI程序，实现MTV的播放功能。压缩内包含.m源码以及.fig文件。(I have written matlab GUI program, realized MTV playback functions. Compression contained within. M source and. Fig file.)

说明：  连续波信号调频的雷达处理,利用MATLAB/Simulink进行编程和仿真(FM continuous wave radar signal processing using MATLAB/Simulink programming and simulation)

基于小波变换的盲均衡算法，经过实验能成功实现(Blind equalization algorithm based on wavelet transform, after the experiment can be successfully)

在802.11.3a信道环境下，基于MB-OFDM UWB的仿真程序，很全。(At 802.11.3a channel environment, the MB-OFDM UWB based on the simulation program, it is wide.)

自编的prony程序，能正常运行，拟合结果准确(prony precess)

说明：  用matlab实现启发式算法布谷鸟算法，用于生产优化(New heuristic- CS algorithm for the production optimization problem using matlab )