SplineCSharp

C++的求阶乘的程序，对本科C++课程可能有些帮助(Factorial in C++ program, it maybe helpful for some C++ course)

说明：  用二分法求解一元五次非线性方程的实数解，在高等电路学习中有很好的用途。(One yuan of five nonlinear equations dichotomy solving real solutions, there is a very good use in the higher circuit learning.)

序列二次规划(SQP)方法被认为是解决非线性约束优化最有效的方法之一，传统的SQP算法每一步迭代都要求解QP子问题。 　　(Sequential two times programming (SQP) is considered to be one of the most effective ways to solve nonlinear constrained optimization. The traditional SQP algorithm requires QP iteration for every iteration.)

压缩包中包含五个CFD基础程序，其中MacCormack1DSolveRiemann.for是一维欧拉方程求解（黎曼问题），UpwindTVD_1D.for是一维可压粘性N-S方程求解，MAC-Chorin2D.for是利用MAC算法和Chorin压力迭代解法求解 二维不可压缩黏性平板间Poisuille流动问题，Lax-Webdroff2D.for是利用Lax-Webdroff差分格式求解二维平面激波反射问题，fvm_upwind_MAC_couette.for是以一阶迎风型离散格式和Chorin压力迭代求解couette二维流动问题。(CFD compression package contains five basic program, which is an Euler equation solving MacCormack1DSolveRiemann.for (Riemann problem), UpwindTVD_1D.for is one-dimensional compressible viscous NS equation solving, MAC-Chorin2D.for is the use of algorithms and MAC Chorin pressure iterative solution for solving the two-dimensional incompressible flow problems between viscous flat Poisuille, Lax-Webdroff2D.for using Lax-Webdroff difference scheme for solving the two-dimensional plane shock wave reflection problem, fvm_upwind_MAC_couette.for based on first order upwind scheme and Discrete Chorin pressure couette iterative solution of two-dimensional flows.)

q-learning的一个解释性例子.压缩文件有两个m文件构成，运行后可输出结果。(q-learning with matlab)

说明：  在学习数字信号处理算法程序中用VC编写的几个通用算法程序。 卷积计算/DFT与FFT实现/(In the learning process of digital signal processing algorithms using VC General Algorithm for the preparation of several procedures. Convolution calculation/DFT and FFT realization /)

用于在数值分析中，对于离散点进行拉格朗日差值拟合(Lagrangian difference fitting)

用fortran编写重力正演及最小二乘反演程序(fortran prepared gravity forward and inversion procedure)

求解激波管问题等产生的偏微分方程组的各种数值算法。(Shock tube problem solving, such as partial differential equations arising from a variety of numerical algorithm.)

本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络(This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network)