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单纯形算法法的matlab程序,用于解决线性规划问题,十分好用.(Simplex algorithm matlab law procedures, to resolve linear programming problems, very easy to use.)

GUI building document

softmax.使用matlab编写的分类代码(softmax.using matlab a good code)

利用MATLAB绘制图形，并用鼠标拖拉矩形框，选中图形局部放大后，绘制在原图形的右上角，使得局部细节更清晰(Using MATLAB to draw graphics, and drag a rectangle with the mouse, select the graphics local amplification, drawn in the upper right corner of the original graphics, making the local details more clearly)

fundamentals of CBIR..

Compressive Sensing： 从时域稀疏性和频域稀疏性两个不同角度实现基于MATLAB的压缩感知原理性能.对于Compressive Sensing 初学者有着极大的帮助。(Compressive Sensing： Based on MATLAB, codes realize CS theory from Time-Sparsing and Frequency-Sparsing field.It s really helpful for those who are fresh in CS field.)

组合算法 Matlab中有函数nchoosek，它是返回全部可能的给合数，本例是一个个地产生组合(Combination algorithm In Matlab function nchoosek, it is possible to return all composite numbers in a matrix, in this case is a combination of one to generate)

现代通信系统使用matlab版全部章节的matlab仿真源代码(Modern communication systems using matlab version of all sections of source code matlab simulation)

随机森林算法的matlab代码，这里旨在给初学者研究的随机树回归算法(Random forest algorithm Matlab code, aimed at beginners study a random tree algorithm)

。本书首先讲述了MATLAB语言程序设计基础，然后分别介绍了符号计算在微积分和复变函数两门大学数学基础课程中的应用，接着系统的介绍了线性方程组、非线性方程与最优化方法、特征值与特征向量、插值与函数逼近、估计方法和数据拟合、积分计算、常微分方程的数值方法。从实用角度考虑，本书许多章节都给出了一些数值分析的应用范例，并在最后一章单独介绍了一些综合性较强的数学建模问题(This book starts by describing the basis of MATLAB programming language, and then introduced the symbolic computation in calculus and complex functions based on two college courses in applied mathematics, and then introduced the system of linear equations, nonlinear equations with the most optimization method, eigenvalue and eigenvector, Interpolation and function approximation, estimation and data fitting, integral calculation, numerical methods for ordinary differential equations. From a practical point of view, many of the chapters the book gives some numerical analysis are examples of the application, and separate in the final chapter describes some of the more integrated mathematical modeling)