scaleh

2013年“高社杯”数学建模b题，对于纵向切割的图片复原。 使用方法：打开matlab，调整工作目录为解压后的文件夹，在matlab工作框中输入Problem1即可(2013 " High Society Cup" Mathematical modeling b title picture for longitudinal cutting recovery. How to use: open matlab, adjust working directory is unpacked folder work in matlab can enter Problem1)

说明：  遗传算法求解多元函数最值源程序 遗传算法入门程序，求解一个六峰驼背函数的最小值，绝对经典(Genetic Algorithm multivariate function most value genetic algorithm source code entry procedures, a minimum of six peaks hump solving functions, absolute classic)

这是一个特效是仿照苹果电脑煮面的一个特效。这是一个特效是仿照苹果电脑煮面的一个特效。(This is a special effects is modeled as a cooking apple computer special effects. This is a special effects is modeled as a cooking apple computer special effects.)

机器学习_斯坦福大学2013课后作业 正在学习，作业联系可以参考(Machine learning _ Stanford University 2013 Homework Are learning, you can refer to the operating contact)

说明：  5G is a project of upcoming technologies in the future

MATLAB基本矢量方向滤波器仿真实现（bvdf）。(MATLAB simulation of the basic vector direction filter (bvdf).)

Function developed in MATLAB for the creation of a RGB Cube

潮流计算 pq 法 详细的程序在里面，，很好用个(FLOW pq yew yes yes yes yes yes)

层次分析法实现程序，实现目标层权向量的计算以及评价(Analytic Hierarchy Process implementation program to achieve the target layer weight vector calculation and evaluation)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection