pso

利用matlab求解麦克斯韦方程组的时域有限偏微分方程(Using matlab to solve Maxwell' s equations partial differential equations in time domain finite)

基于matlab的OFDM系统设计与仿真(Matlab for OFDM-based system design and simulation)

用MATLAB实现的网络设计与测试程序，为神经网络理论的应用(MATLAB network design and testing procedures for the neural network theories in the)

计算3维光子晶体的能带结构，利用了平面波展开方法(calculated three-dimensional photonic crystals with the structure, using the plane wave expansion method)

说明：  求解LE，小数据量法，简单易操作。。。。(Solving the LE, the small amount of data law)

经典的扩展卡尔曼滤波卡尔曼滤波程序，首先对非线性函数取一阶近似，生成近似的新型函数，然后进行卡尔曼滤波，通过一步状态和估协方差估计产生新息，然后生成状态预测(Classical extended Kalman filter, Kalman filter procedure, first take the first order approximation of nonlinear function to generate the new function approximation, and then proceed to the Kalman filter step state estimate covariance is estimated to generate new interest, and then generate the state prediction)

TSP问题（又名：旅行商问题，货郎担问题）遗传算法通用matlab程序 D是距离矩阵，n为种群个数 参数a是中国31个城市的坐标 C为停止代数，遗传到第 C代时程序停止,C的具体取值视问题的规模和耗费的时间而定 m为适应值归一化淘汰加速指数,最好取为1,2,3,4,不宜太大 alpha为淘汰保护指数,可取为0~1之间任意小数,取1时关闭保护功能,建议取0.8~1.0之间的值 R为最短路径,Rlength为路径长度( TSP problem (also known as: traveling salesman problem, traveling salesman problem) genetic algorithm generic matlab program D is the distance matrix, n is the population number of parameters a C coordinates of the 31 cities to stop algebra, genetic to C on behalf of the program stops, the specific values ​ ​ of C depending on the size and time-consuming, m alpha for the fitness value of the normalized phase-out acceleration index, and is best taken as 1, 2, 3, 4, and not too much eliminated the protection index, it is desirable for any decimal between 0 and 1, taking 1:00 off the protective function, it is recommended to take a value between 0.8 to 1.0 R for the shortest path, Rlength for the path length)

MATLB7.0文件处理,经典，辛苦整理(MATLB7.0 document processing, classic, hard-finishing)

逆合成孔径雷达（ISAR）转台成像仿真，使用MATLAB(ISAR turntable imaging simulation)

说明：  matlab实现四种最优化搜索方法 共轭梯度法 牛顿法 最速下降法 拟牛顿法 对一个十维函数的极值搜索(matlab optimal search)