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aam matlab gui 工具包，功能很强大(aam matlab gui toolkit, very powerful)

使用遗传算法和蚁群算法求解TSP问题，并且 实时地将计算结果和所用时间等信息显示在界面上，很直观。(The use of genetic algorithms and ant colony algorithm for TSP problem, and real-time results and the use of the time information is displayed in the interface is very intuitive.)

lapack的c++版本之一.lapack是imsl,mkl,matlab等大部分数值计算的使用者.最早是for77的,后来出现c++,java等的.(lapack one of the c version. Lapack is imsl, mkl. Matlab, and most numerical calculation users. The first was for77, subsequently c, java and so on.)

matlab C++混编程序，用C++处理数据，由matlab显示画图(matlab C++ mixed program, with C++ process the data displayed by the matlab drawing)

Matlab中erf(x)函数的表达式是怎样的，erf(x)与标准正态分布函数之间的关系是怎样的，怎样自己编制一个计算标准正态分布函数数值近似值的函数，如何利用matlab自带的erf(x)函数包近似计算标准正态分布函数的值，数值计算值与用erf(x)转化求得的值之间的相对误差是怎样的。(将中文译成英语 Matlab, erf (x) function expression is what, erf (x) the standard normal distribution function and the relationship between what and how to prepare their own calculation of the standard normal distribution function a value function approximation, how to use matlab comes with erf (x) function package approximate standard normal distribution function values??, numerical values ??and with erf (x) between the values ??obtained into the relative error is like. )

直接扩频捕获Xfast算法仿真(包含可调SNR信息码产生)(dsss acquisition(XFAST))

例3：分析占空比为ta的矩形脉冲频谱 T=1 时间窗大小 ta=0.5 占空比 N=256 t=linspace(-T,T,N) ts=2*T/N fs=1/ts (x=zeros(1,N) x(N/2-round(N/2*ta):N/2+round(N/2*ta))=ones(1,2*round(N/2*ta)+1) y=fft(x,N) figure plot(t,x) title([ 时域信号图 占空比为 ,num2str(ta)]) axis([-T T-0.2 1.2]) xlabel( t /s ) figure subplot(211) f=linspace(-fs/2,fs/2,N) plot(f,abs(fftshift(y))/N) title([ 矩形脉冲双边谱 脉冲时间t=[- ,num2str(ta*T), , ,num2str(ta*T), ] ]) xlabel( f /Hz ) )

说明：  该代码是一个基于MATLAB语言编辑的四面体有限元长应变四面体算法，包含一个例子很实用，性能稳定。感谢大家的分享。(This code is a kind of constrain Tetrahedral fem compution on MATLAB。there are total code and an example in cube。It is very practical and stable。thank you for your exchanging。 )

MATLAB fem 工具箱 主要针对有限元分析(matlab toolbox)

基于MATLAB编写的基于遗传算法的RBF-NN训练程序(Based on the PID controller based on genetic algorithm RBF-NN MATLAB_SIMULINK prepared)