zhengdongxinghao

说明：  已修改了各種發光原碼及人物顯示模式 以及怪物血量(Have modified the original code and the character of various light-emitting display mode and the monster blood)

地震SV波的源代码，得出反射系数，透射系数，转换波的反射系数，透射系数等(SV wave seismic source code, come the reflection coefficient, transmission coefficient, reflection coefficient, transmission coefficient converted waves, etc.)

要在VC中成功编译Matlab引擎程序，必须包含引擎头文件engine.h并引入Matlab对应的库文件libmx.lib、libmat.lib、libeng.lib(VC to successfully compile Matlab engine procedures, must include the engine header files engine.h and the introduction of the corresponding Matlab library files libmx.lib, libmat.lib, libeng.lib)

6603二次开发运营版炸金花，带前后台控制(6603 Golden fried version of the secondary development operations)

说明：  SVM进行两分类算法的MATlab实现代码SVM进行两分类算法的MATlab实现代码(A two-SVM classification algorithm MATlab implementation code for the two classification algorithm SVM implementation code MATlab)

该程序主要是计算在三维空间中的单极子天线的问题,其中包括PML,(The procedure is to calculate the three-dimensional space in the monopole antenna of issues, including PML,)

利用非线性控制完成光伏并网逆变器的设计，设计中采用先进的反步法，介绍很好。(Using nonlinear control to complete the design of the photovoltaic (pv) grid inverter, adopted in the design of advanced reverse moves, the introduction is very good.)

matlab工具箱，可以实现很多功能。解决许多问题！(The matlab toolbox, can realize many functions. Solve many problems!)

弹出式tooltips，codeproject上面一个国外人写的(Pop-up tooltips)

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)