SmoothSlider

简单的图书馆管理系统 VB加SQL 本系统功能分为：图书信息管理，流通管理，读者信息管理，综合查询，系统维护功能等5个功能。(Simple library management system VB add SQL functions of the system is divided into: library information management, distribution management, reader information management, integrated query, system maintenance functions, etc. 5.)

将一些有用的vb代码写成com组件，然后在vbvc中调用。(Some useful com component written in vb code and then call vbvc.)

说明：  mini cortez mybusiness pos v11

一个沙盘指示灯控制系统，需要硬件PCI843支持(A sand table light control system, the need for hardware support for PCI843)

说明：  使键盘指定键按下无效.可自由设置.详见模块中设定的常数(To enable the keyboard by pressing the specified key is invalid. Be free to set up. See set constant module)

vb集合asp开发的一个员工管理的源代码。(vb collection asp developed a staff management source code.)

Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

arcgis 基础编程实例,对GIS人员帮助很大(the basis of programming arcgis example, the GIS staff is very helpful)

使用MATLAB做图像处理，包括求灰度图、均衡化以及各种直方图，也可进行曲线拟合，求亮度曲面分布，和图像的均值与方差，便于学习(Use MATLAB to do image processing, including seeking grayscale, and a variety of histogram equalization, but also for curve fitting, seeking surface brightness distribution, and the mean and variance of the image, easy to learn)