IRST_Intel_Skylake_Win10_64_VER14501081

说明：  这是一个基于pocketsphinx的例子程序，已经在andtoid studio编译成功，并能识别简单的词汇。这是第二部分(This is an example program based on pocketsphinx, which has been successfully compiled in andtoid studio and can recognize simple words.this is the 2nd part)

eeepronxr819驱动移植文档Download/item/id/3226919.html(eeepronxr819gfgfgfgrDownload/item/id/3226919.html)

说明：  带socket TCP和UDP接口的视频播放器。监听socket TCP和UDP端口，可接收外部的控制指令。包括视频片源选择，播放，暂停，停止和音量等。用户可自已定义端口。播放器本身不带任何按钮，只能通过socket指令控制。 这个是控制端程序， 在我资源列表里，有播放端程序下载。(Video player with socket TCP and UDP interface. Monitor socket TCP and UDP ports and receive external control instructions. Including video source selection, playback, pause, stop and volume, etc. Users can define their own ports. The player itself has no buttons and can only be controlled by socket instructions.)

微网光伏发电中下垂控制电能质量的输出控制。改善嗲能质量(windows matlab one we)

jQuery点击选中列表样式代码是一款鼠标点击勾选选中列表特效。(JQuery Click Check List Style Code is a mouse click Check List effect.)

说明：  VCO电路，PSIM模型，有需要请使用。(Voltage Control Oscillator PSIM module)

用c++做的图书馆管理系统，英文界面 功能包括注册 借书 还书 书本登记等--Librariy Management System

说明：  在数学建模中常常用的算法类型的层次分析法(Analytic Hierarchy Process for Mathematical Modeling)

用FlashMX创作的一个爱情短剧，很感人，讲述了恋爱的真实与痛苦 。-with Flash MX creation of a love drama, very moving, spoke of the true love and pain.

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.)