matlabquantization

VEHICULAR DELAY TOLERANT NETWORKS-SURVEY

mcmc的程序及算法说明，学习的可以参考一下(MCMC GATHER A FEW SAMPLES FOR THE MH SAMPLING)

说明：  计算电力系统最优化，使电力系统运行时达到经济最优(Calculation of power system optimization, so that when the power system to achieve the economic optimum)

matlab gui罗光华视频教材第一章源代码16个源代码，与例题相关(matlab gui)

基于Matlab的推荐系统源码，来源于协同过滤算法(matlab CF)

说明：  基于非线性PCA准则的两个盲信号分离算法， 利用矩阵广义逆递推得到一种盲信号分离算法，采用梯度下降算法和线性寻优而得到另一种自适应盲信号分离算法(sourceseparation based nonlinear pca princple)

是一些matlab程序，MATLAB_netcdf_20101222matlab_netCDF_OPeNDAmatlab_netCDF_OPeNDAPget_dods_dds.m(studying MATLAB_netcdf_20101222matlab_netCDF_OPeNDAmatlab_netCDF_OPeNDAPget_dods_dds.m)

genetic_algorithm optimized matlab program_draw

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

说明：  本源码是基于遗传算法的多维函数值的优化计算，利用matlab仿真(The source is based on genetic algorithm optimization of multi-dimensional function value calculation, the use of matlab simulation)