Documentation help Csharp Svg

this source code is use to calculate resister capacitor and inductor

用单片机对遥控器实现解码，并在数码管上显示(Infrare Decoder)

南京能瑞的集中器程序，运行在振中掌机tp900.对集中器进行读写操作。(Nanjing Rui centralized program can run in the handheld vibration tp900. Perform read and write operations on the concentrator.)

GMRES算法及其加速收敛现象分析,feichanghao,可以学习一下(GMRES algorithm analysis)

利用C++实现了BMP图像的读入和显示利用C++实现了BMP图像的读入和显示利用C++实现了BMP图像的读入和显示(Use C++ achieve the BMP image to read and display BMP images using the C++ achieve to read and display BMP images using the C++ achieve to read and display)

Gauss 消元法 — 不选主元 Gauss 消元法 — 列选主元. 插值法 lagrange .cpp 插值法 lagrange .cpp 二分法.txt 二分法和简单迭代法以及埃特金.txt 复化辛卜生公式.txt快速弦截法 gauss-seidel选代.txt牛顿迭代法.txt(Gauss elimination method- do not choose the principal component Gauss elimination method- principal component out how. Interpolation lagrange. Cpp interpolation lagrange. Cpp dichotomy. Txt dichotomy and a simple iterative method, and Aitken. Txt Fu Xin Bo' s formula of . txt fast chord intercept method gauss-seidel iteration. txt Newton iterative method. txt)

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live555 推流到H264 ES 流EasyDarwin， 循环推送，同时实现了MP4的推送，通过LIVE555实现推送，Linux系统下验证通过，用VLC播放，服务器的地址需要自己手动改。。。

说明：  C # design pattern - builder mode C#设计模式--建造者模式(C # design pattern-builder mode C # Design pattern-architect pattern)

说明：  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。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)