QSGS

人脸识别的matlab程序，bp神经网络的应用(Face recognition matlab program, bp neural network applications)

这是matlab编程基本工具，希望对大家有点帮助(This is the basic tool for Matlab programming, we hope to help a bit)

一本介绍matlab GUI编程的书，里面包括了各种控件的编程，比如菜单、编辑框、按钮、列表框等。(An introduction matlab GUI programming books, which include a variety of control programming, such as menus, edit boxes, buttons, list boxes and so on.)

lindo 软件 经济 等多方面的功能可用，统计计算，数学软件(lindo software economies, and many other features available, statistical computing, mathematical software)

说明：  数字图像处理及matlab实现数字图像处理及matlab实现(Digital image processing and digital image processing matlab and matlab to achieve)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

RBF训练新手上手代码 RBF训练 值得参考(RBF RBF training novice to get started training worthwhile reference code)

HISTOGRAM EQUALIZATION

用MATLAB实现的标准卷积的算法源程序(Using MATLAB to achieve the standard convolution algorithm source code)

making admitance matrix