upwind

含约束的优化问题求解案例，算法简单，求解很方便实用(Constrained optimization problem solving case, the algorithm is simple, easy to solve, practical)

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.)

vc++实现编译原理中的LL(1)文法的编译过程,非常好用.(vc realization of the principle of compiler LL (1) grammar compiler course, very handy.)

说明：  矩阵的转置，相乘及界面的面换稀疏矩阵的三元组相加(Sum of the transpose of the matrix, multiplying, and interfacial surface replacing the sparse matrix triples)

二维粘弹性介质中波的传播的解析形式。应用Carcione等在1988年发表的《WAVE PROPAGATION SIMULATION IN A LINEAR VISCOELASTIC MEDIUM》一文中的方法，更加详细的介绍见英文描述。该代码对于做波场模拟的同学有很好的参考价值。( MATLABScript for obtaning the analytical solution for 2D wave propagation in a viscoelastic medium, based on the Appendix B of paper of Carcione et al. (1988)(1), corrected in (2). The source used is a Ricker wavelet in the y velocity component. A figure of the source temporal function and its inverse Fourier transform are provided to verify the good working of the method. Also works for elastic variables by substituting the values of vp and vs by real constant ones (vp_0 & vs_0). Attenuation is implemented by GMB-EK rheology presented in (4) and thoroughfully explained in (3). In order to make a proper comparison with numerical data it is recommended to either use the same rheology in both the numerical and the analytical. It is also possible to get an almost constant Q value by increasing a lot the number of mechanisms used in both the numerical and the analytical solutions, thus minimizing the effects of the Q fitting in the comparison.)

一维热传导模型，一维稳态热传导模型，有限差分法(One dimensional heat conduction model)

多点高斯平稳随机过程模拟，运用了快速傅里叶变换进行模拟。(Multi-Gaussian stationary random process simulation, using a fast Fourier transform simulation.)

C写的填充算法源码 算法可是在编程中可是非常重要的 大家可以参考一下这个代码,学习一下算法(C padding algorithm source code algorithm but in programming is very important, you can refer to this code, learn the algorithm)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

格子玻尔兹曼模型DnQm系列模型中应用较为广泛的D2Q7模型源代码，用于模拟流体的流动。(The D2Q7 model source code of the the Lattice Boltzmann the model DnQm series model is widely used to simulate fluid flow.)