PQchaoliuchengxu

数学建模---MATLAB的使用简介一、曲线插值与拟合二、数值微分与积分三、微分方程数值解四、优化问题五、回归分析(The use of mathematical modeling--- MATLAB Introduction of a curve interpolation and fitting the second, numerical differentiation and integration III, differential equations IV, V optimization, regression analysis)

alpha-β滤波器是针对匀速运动目标模型的一种常增益滤波器，本代码给出了在目标机动指标已知、未知和自适应滤波三种情况下的仿真代码(alpha-β filter is a moving target model for a uniform constant gain filter, the code is given in the target mobile targets known, unknown and adaptive filtering three cases of simulation code)

混沌优化程序，各种混沌优化的例子，时分混沌，chengs,logistic,duffing,henon,loren2.(chaos optimization procedures, various examples of chaos optimization, chaotic hours, chengs, logistic, Duffing, henon, loren2.)

遗传算法又叫基因进化算法，或进化算法。属于启发式搜索算法一种，这个算法比较有趣，并且弄明白后很简单，写个100-200行代码就可以实现。在某些场合下简单有效。本文就花一些篇幅，尽量白话方式讲解一下。(GA simple genetic algorithm;basic genetic algorithm;traditional genetic algorithm)

说明：  code matlab fingerprint recognition

利用matlab编程实现小车速度的互相关算法，完整。(Using matlab to realize vehicle speed cross-correlation algorithm, a complete.)

Estimation Of Planar Curves of the Surfaces

计算嵌入维数、延迟时间，并进行相空间重构的工具包，以及说明书(Calculate embedding dimension, delay time and phase space reconstruction kits, as well as the instructions)

汽车七自由度的模型，包括M文件。可以和carsim联合仿真，对做汽车动力学仿真很有用。(Seven degrees of freedom vehicle model, including M files.Can and carsim joint simulation, is very useful to do vehicle dynamics simulation.)

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)