gongetidu-

公司专用的抄表册同步工具，仿360页面制作，配合兰德或欧珩杰抄表机使用(Copy list synchronization tool company specific, imitation 360 page production, with Rand or European Hengjie meter reading machine use )

精通Matlab与C++混合编程全书源码，非常好用，涵盖了Matlab与C++混合编程所有常用的方法(Proficient in Matlab and C++ mixed programming book source code, very easy to use, covering the Matlab and C++ mixed programming all the commonly used method)

C＋＋与MATLAB接口的实例 对于学习C++和MATLAB 很有帮助 请珍惜(C and MATLAB interface examples for learning C++ And MATLAB helpful please Value)

C++大作业，编写一个account类实现基类派生类之间的各种关系。主要用于初学者对于类的理解。(C++ big job, write a class that implements account the various relationships between the base class derived class. The main class for beginners to understand.)

15名基督教徒和15名异教徒同乘一船航行，途中风浪大作，危机万分，领航者告诉大家，只要将全船的一半人投入海中，其余人就能幸免。大家都同意这个办法，并协定者30人围成一圈；由第一个人起报数，每数至第9人便把他投入海中，下一个接着从1开始报数，第9人又被投入海中，依次循环，直至剩下15人为止。问题是如何排法使投入海中的人全为异教徒？(15 Christians and pagans 15 vessels with one by the way, big waves, extreme crisis, leader told everyone that as long as will be half the person boat into the sea, and the remaining person will be able to escape. We all agree that this approach, and agreements were 30 form a circle from the first reported from a few individuals, the number to 9 for each person put him into the sea, then from the next one to start off, 9 people have been invested in the sea, followed by cycle, until the remaining 15 people so far. The question is how to row Act so that the person into the sea all infidels?)

Sample windows phone apps

空间插值方法汇总Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法）Minimum Curvature（最小曲率）Modified Shepardd s Method（改进谢别德法）Natural Neighbor（自然邻点插值法）Nearest Neighbor（最近邻点插值法）Polynomial Regression（多元回归法）Radia (Spatial interpolation method summary Inverse Distance to a Power (inverse distance weighted interpolation) on Kriging (kriging) Minimum Curvature the (smallest curvature) Modified Shepardd s Method (improved Xiebie De law) Natural Neighbor (natural neighbor interpolation) Nearest Neighbor (nearest neighbor interpolation) Polynomial the Regression (multiple regression) Radia)

说明：  two wheeler inventory Management

说明：  网上找的一个有意思的程序。共享下。参阅下子(Internet is an interesting program. Sharing the next. See erupted)

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.)