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MATLAB科学计算与工程分析源代码源程序4(MATLAB scientific computing and engineering analysis of the source code source 4)

说明：  r/s法matlab函数的中文说明及例程、附带上证hurst数值的计算。(r/s Law of the Chinese matlab function descriptions and routines, with the Shanghai hurst numerical calculations.)

一个简单的bp算法，运行中可以看到每一步的结果。适合初学者。(A simple BP algorithm, the operation can be seen in the results of each step. Suitable for beginners.)

关于分解的viterbi译码的matlab算法()

股票数据爬虫，matlab版本，与网上同一类型的区别在于，能够直接运行，有一定的借鉴意义。(Stock data crawler, matlab version, with the same type of difference between online, can run directly, have certain reference significance.)

说明：  Buck基础电路MATLAB的Simulink仿真，12V-5V，参数已经调好 PID控制Buck电路原理图（VISIO图）(Simulink simulation of Buck basic circuit MATLAB, 12V-5V, parameters have been adjusted PID control Buck circuit schematic (VISIO diagram))

Galton 板钉问题的matlab实现，压缩包中两个文件，一个用于算法实现，一个用于绘图。(Matlab implementation of the Galton board nail compressed package in two files, one for the algorithm, one for drawing.)

说明：  这也是一个对初学者有用的MATLAB源码，希望对你有用！( This is also one to the beginner useful MATLAB sound code, hoped that is useful to you! )

The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.

模拟大型服务器均衡器工作，将多台低性能服务器组合成高性能、高可用的服务器(Simulate large server equalizer work combines multiple servers into a high-performance low-performance, high availability servers)