bds2006_cpp_vectserial

VC++中使用MATLAB的C++数学库和MCC生成的程序。(VC use MATLAB C Math Library and MCC production procedures.)

多智能体蜂拥控制MATLAB基本仿真程序，帮助新手学习交流(multi-agent system of flocking matlab simulation programa )

BOOST中对于元编程中如何增加预编译的功能，并且增加了自定义输出错误码的功能。是学习元编程的很好的入门例子(BOOST how to add the function of pre compiled meta programming, and add custom output error code function. Is learning meta programming is a good example of entry)

电饭煲控制源程序 很实用 很强大 你们一定喜欢(Rice cooker is very useful source control is very strong that you will love)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

遗传算法算例及matlab源程序，对遗传算法入门研究及借鉴 大有益处(Matlab genetic algorithm and source code examples, Introduction to research on the genetic algorithm and draw great benefit)

产生功率谱为高斯谱的的瑞利杂波，并画出图形 (Produce the power spectrum for the Gaussian spectrum of Rayleigh clutter and draw graphics)

test is sampletest is sampletest is sampletest is sampletest is sampletest is sampletest is sampletest is sampletest is sampletest is sample

混合隶属度随机块模型，用于进行社区划分，检测重叠社区，节点分组等( Mixed-Membership Stochastic Block mold，which is a scalable approach to community detection that discovers overlapping communities in massive realworld networks.)

最大似然（ML）准则和最大后验概率（MAP）准则，多机电力系统仿真及其潮流计算，采用的是脉冲对消法。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multi-machine power system simulation and flow calculation, It uses a pulse of consumer law.)