CS_OMP_my_final

The following is an example of how Microsoft Solver Foundation can be used to solve a constraint satisfaction problem (CSP) like generating a typical Sudoku problem. Sudoku http://www.codeproject.com/Articles/419389/Sudoku-using-Microsoft-solver-foundation In this article I do not attempt to explain everything there is to know about constraint satisfaction problems, but I will go over the concepts in the hope that even if you have never heard of CSP you will still get the idea.

详细全面的蒙特卡洛PPT讲解以及MATLAB算例，帮助大家0基础快速掌握MC的精华所在。(Detailed and comprehensive Monte Carlo PPT to explain and MATLAB example, to help you basically grasp the essence of MC.)

This is a test code for parallel computation in fortran. Thanks

混沌理论预测方法，可以进行多步骤预测，方便使用，很用的工具。(chaos a very good sofeward if you have you will find very goog)

空间目标识别，采用PM算法，线性调频脉冲压缩的Matlab程序,多抽样率信号处理。( Space target recognition algorithm using PM, LFM pulse compression of the Matlab program, Multirate signal processing.)

matpower2机5节点程序进行潮流计算(matpower2 Machine 5 node program)

jaya algorithm source code

相变UDF，包括质量传递和热量传递，能够进行气液相变的模拟(Phase transition UDF, including mass transfer and heat transfer, gas-liquid phase transition can be simulated)

无约束优化问题的阻尼牛顿法python代码(Damped Newton Python code for unconstrained optimization problems)

分数阶fourier变换程序，基于插值和抽取操作和卷积运算的快速算法。(Fractional fourier transform procedures, based on interpolation and extraction operation and fast algorithm for convolution operation.)