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通过一个dll创建工程和一个dll使用工程来进行非MFC DLL的创建和使用方法-introduce the way to create and use a dll through the 1 project and dlltest project in the rar file

Delphi LED显示屏效果控件，不知效果如何，从代码看挺简洁的，关注度也很高，若有此需要的，可不妨下载试一下。

说明：  英雄联盟LOL走位躲避代码LUA走位走位自动走位(The hero League LOL position avoidance code LUA position automatic position)

MATLAB GUI界面，弹出式菜单控件的使用(MATLAB GUI interface, the use of listbox UIcontrol)

用W-M方程描述二维分形，基于最大高度调整G，D选取1.2(W-M function depicting 2-D fractal images depending on different G)

作为学习的资料，这是我学习c语言的一些重要记录(Information for learning, this is my c language learning some of the important records)

说明：  基于stm32f103的能够实现自平衡的自行车，简易自主不倒自行车(Self balancing bicycle)

C++程序设计源代码例-C programming source code cases

安装方法：打开weather.cgi更改各个项目可以用以下方法调用：演示：http://flyao.com-installation method : Open weather.cgi change projects can use the following method invocation : demo : http://flyao.com

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcoming of the steepest descent method and avoids the need for the Newton method to store. And the disadvantage of calculating the Hesse matrix and inverting, the conjugate gradient method is not only one of the most useful methods for solving large linear equations, but also one of the most effective algorithms for solving large-scale nonlinear optimization. Among various optimization algorithms, the conjugate gradient method is a very important one. The advantage is that the required amount of storage is small, step convergence, high stability, and no external parameters are required.)