gaot

Compressibility factor from Peng Robinson Eos

source code using principal component analysis and similirity matching with the ecludien distance this is an approach used for face recognition. this file also contains and test images

使用一篇论文提供的方程组和参数——分形仿射变换方法转换过来的MATLAB程序，画一片蕨叶。输入是起始坐标x0,y0和迭代次数——一般在几万次，十万次比较清晰。(Plotting the leaf with equations and parameters given by an essay. This method is fractal theory. The input is the location of starting points x0,y0 and the iteration times(100,000 times can produce a clear picture.))

An orifice, through which hydraulic fluid flows, has a specially shaped inlet and exit in an attempt to minimize losses. During tests the measured variations of mass flow rate q with pressure drop (p1-p2) across the orifice yield the data shown below. (a) From these data estimate the orifice loss coefficient c0 (b)plot the flow v.s. pressure drop curve with the estimated c0 to validate your estimation.

分析信号谱峭度根据最相关性，提取敏感频段，进一步分析。(The kurtosis of the signal spectrum is analyzed according to the most relevance, and the sensitive frequency bands are extracted for further analysis.)

Simulates the movements of a swarm to minimize the objective function

hog 算法的总结 其中包括hog的介绍，hog的代码的一些解释(summary of the hog algorithm including some explanation of the introduction of the hog, hog code)

布谷鸟搜索（Cuckoo Search，缩写 CS），也叫杜鹃搜索，是由剑桥大学杨新社（音译自：Xin-She Yang）教授和S.戴布（S.Deb）于2009年提出的一种新兴启发算法[1]。 CS算法是通过模拟某些种属布谷鸟的寄生育雏（Brood Parasitism） [2]，来有效地求解最优化问题的算法[3]。同时，CS也采用相关的Levy飞行搜索机制。研究表明，布谷鸟搜索比其他群体优化算法更有效(Cuckoo search (Cuckoo Search, acronym CS), also known as cuckoo search by Cambridge Young Novosti (transliteration since: Xin-She Yang) inspired a new professor and S. Dai cloth (S.Deb) proposed in 2009 algorithm [1]. CS algorithms by simulating certain species of parasitic cuckoo brood (Brood Parasitism) [2], to efficiently solving algorithm optimization problems [3]. Meanwhile, CS also uses related Levy flight search mechanism. Studies have shown that, compared to other groups cuckoo search optimization algorithm is more efficient)

Nonlinear_Systems_2nd- Hassan_K. Khalil -

粒子群优化算法，最经典的原始MATLAB算法，执行效率高(Particle swarm optimization algorithm, the most classic of the original MATLAB algorithm, the implementation of high efficiency)