MATLAB

说明：  一个虎门大桥涡街的udf和fluent仿真教程，适合初学者(A fluent udf example)

lmmse算法的仿真实现，在相关矩阵的求解上比较有技巧性(lmmse Simulation Algorithm)

对比卡尔曼滤波和维纳滤波对一阶gaussian-markov过程的滤波预测。(Contrast Kalman filter and Wiener filter of first-order gaussian-markov forecast filtering process.)

C语言实现多项式的最小二乘拟合，可用于在区间上对函数进行拟合(C language polynomial least squares fitting, can be used to fit the function on the interval)

牛顿插值法进行多项式逼近，matlab编译成功，直接可用(Newton interpolation polynomial approximation method, matlab compiled successfully, directly available)

快速排序法和堆排序法Fortran90程序，其中快速排序法使用到了递归过程，因此对于堆栈要求较高(both Quicksort and Heapsort program are used for sort array. Note that a recursion process is used in Quicksort program, Thus it need require a relative high stack size.)

说明：  阵列存在幅相误差条件下的DOA估计算法仿真(Simulation of DOA estimation algorithm with amplitude and phase errors in array)

时域有限差分 2维 完全匹配层 犹他州大学(fdtd method 2D pml perfect mached layed www.ece.utah.edu)

随机微分方程求解的一个很好的参考资料，算是比较基础的，深入浅出(Stochastic differential equations of a good reference, as a relatively basic, easy to understand)

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.