Matlab_Fluent-cosimulink

说明：  Do you need to gain confidence with handling numbers and formulae? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Nearly all aspects of our lives can be subject to statistical analysis. Statistics: An Introduction shows you how to interpret, analyze and present figures. Assuming minimal knowledge of maths and using examples from a wide variety of everyday contexts, this book makes often complex concepts and techniques easy to get to grips with. This new edition has been fully updated. Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.

说明：  对常微分方程进行数值解的matlab函数(Matlab function for numerical solution of ordinary differential equation)

计算分数阶微分方程lypunov指数，确定混沌系统的混沌状态。(Calculated fractional differential equations lypunov index to determine the chaotic state of the chaotic system.)

说明：  非常好的卡尔曼滤波学习程序。文章中有原题，有解题步骤，有实现程序。适合卡尔曼学习过程中的人。(Very good learning process Kalman filter. The article in the original title, there are problem-solving steps to achieve the procedure. Kalman learning process for people.)

复化求积公式计算定积分 包括 复化梯形 复化辛普森 等(complexification quadrature formula to calculate definite integration)

包括了一个二维的方柱FDTD散射程序，入射波为TM模式，方柱无限长，等效为二维问题(Includes a two-dimensional square cylinder scattering FDTD procedures, incident for TM mode, infinite square cylinder, equivalent to two-dimensional problem)

WRF模拟结果气象要素的检验对比，包含均方根误差，偏差和相关系数等(WRF simulation test results comparing meteorological elements, including the root mean square error, deviations and correlation coefficients)

学习如何设置UPML吸收边界的3-D FDTD程序.对于初学者很有帮助(Learn how to set up UPML absorbing boundary of the 3-D FDTD procedure. Very helpful for beginners)

一般线性规划问题具有线性方程组的变量数大于方程个数，这时会有不定的解。当决策变量个数n和约束条件个数m较大时，单纯形法是求解线性规划问题的通用方法。 从线性方程组找出一个个的单纯形，每一个单纯形可以求得一组解，然后再判断该解使目标函数值是增大还是变小了，决定下一步选择的单纯形。通过优化迭代，直到目标函数实现最大或最小值(In general linear programming problems, the number of variables with linear equations is greater than the number of equations. When the number of decision variables n and constraint number m are large, simplex method is the general method for solving linear programming problems. Find out one by one from the linear equations of the simplex, each a simplex can get a set of solution, and then concludes that the solution is the objective function value increases or smaller and decided to choose the next simplex. By optimizing iteration, until the target function achieves the maximum or minimum value.)

对于交错网格上的WCNS格式进行精度测试（不带时间方向推进，仅测试空间精度）(test the order of accuracy of the WCNS scheme)