matlabrumendaojingtong

本程序为一维fdtd代码。激励为高斯脉冲。边界为pml。(This program is one-dimensional fdtd code. Gaussian pulse excitation. Boundary pml.)

有限冲激响应滤波器的频域实现方法。可以通过快速傅里叶变换降低复杂度。(Finite Impulse Response Filter frequency domain method. Can reduce the complexity of the fast Fourier transform.)

导航栏，精选ios编程学习源码，很好的参考资料。(The navigation bar, select learning IOS programming source code, a good reference.)

In this we analyze the light out game with matlab.(Linear Algebra analyzing on Lights Out Game )

使用admm算法解决（group_lasso类）问题的matlab程序。(admm method solve （group_lasso）—matlab)

matlab入门经典教程--百看不厌1.rar(Getting Started tutorial matlab classic- never lost their appeal 1.rar)

MATLAB环境下的数值分析教学软件开发(MATLAB environment teaching numerical analysis software development)

GMDH_main为GMDH主函数； variable_Combin为输入层初始变量选为x1,x1^2,x1*x2,x2^2,x2时的输入变量矩阵值 variable_select计算X_train训练输入数据,Y_train训练输出数据,X_test测试输入数据,Y_test测试输出数据 Combin为求变量的两两组合 Sym_Combin为求符号变量的两两组合 PE_AIC求每层各神经元的参数估计W，及训练数据在参数估计后估计的输出out_train，测试数据在参数估计后的估计输出out_test，还有与实际比较的误差平方和PESS， 以及准则值AIC sym_representation求最终的输入输出符号表达式 Criterion_value求准则值 (GMDH_main main function for the GMDH variable_Combin initial variables chosen for the input layer, x1, x1 ^ 2, x1* x2, x2 ^ 2, x2 the value of the input variable matrix calculation X_train variable_select training input data, Y_train training output data, X_test test input data, Y_test for the sake of the test output data Combin pairwise combination of variables for the sake of symbolic variables Sym_Combin pairwise combinations PE_AIC neurons find each parameter estimation of the W, and after the training data is estimated in the estimation of output out_train, test data After the parameter estimates of the output estimated out_test, also compared with the actual sum of squared errors PESS, as well as the final criterion value AIC sym_representation seek the input and output values ​ ​ of symbolic expressions Criterion_value find criteria)

MATLAB数学手册,说明很详细，希望对大家感兴趣。(MATLAB MATHS FOUNCTION)

金融数据的清洗程序，适合于时间序列的整理和初步分析使用(Cleaning process financial data for time series analysis uses the collation and preliminary)