CG_ex

说明：  《精通MTLAB最优化计算》第7章 无约束多维极值问题 源码(&quot The most proficient MTLAB Optimization&quot Chapter 7 source for unconstrained multi-dimensional extremum problems)

M-files for sample fir and iir filter design

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future

粒子群优化算法求解贷款方面的程序，供大家参考(Particle swarm optimization algorithm lending program, for your reference)

lEARN MATL lEARN MATL lEARN MATL lEARN MATL

in this package are the programs needed to solve any system of nonlinear equations

用matlab仿真实现单机器人的路径规划，比较简单易懂，对初学者的一个很好的资料(single robot path plan,which is a good material for a learing person)

电力系统潮流IEEE算例大全，有详细说明文档(Power flow IEEE examples Daquan, detailed documentation )

PV MPPT Model using Solar Cell and P&O MPPT Algorithm

randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2 mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar N = the number of gaussian samples used are provided as user input, A test set of N/2 and a training set of N/2 gaussian samples is also generated Output is directed to the command window and a plot of the distributions are generated