37313541StrainStressAnaFEACodes

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)

describe kalman filter for tracking

this code is for coverage distance

como resolver la torre de hanoi

说明：  总结了数学建模中FCM,PCM聚类算法MATLAB程序，对求解聚类问题帮助很大(Summarized the mathematical modeling of FCM, PCM clustering algorithm MATLAB program for solving the clustering problem of great help)

Alamouti space time coding simulation Maximal Ratio Combining BER simulation

针对多关节机械臂系统的自适应迭代学习控制Matlab例程(MATLAB routine of adaptive iterative learning control for multi-joint manipulator system)

针对不同的噪声和信噪比造一些毫米波图像，用于毫米波图像的复原处理(Noise and signal to noise ratio for different number of millimeter-made image, image restoration processing for millimeter wave)

EKF_UKF_PF三种算法的比较粒子滤波matlab仿真程序(EKF UKF PF Comparison of the three algorithms particle filter matlab simulation program)

利用自相关函数可以进行分析时间序列里面存在的内部特征信息，可以分析这些得到自己有用的信息。(Using the autocorrelation analysis of time series can exist inside the internal characteristic analysis of these information, can get useful information.)