AirParm1

minmod限制器函数，计算流体力学TVD格式中的开关函数。(minmod limiter function)

求解O-S方程特征值，可以适用于多种条件下的O-S方程特征值计算(To solving OS Equation characteristic value, can be applied to a variety of conditions OS equation eigenvalue calculation)

说明：  常用的fluent边界条件的控制UDF，包括动网格UDF(Commonly used control UDF of fluent boundary conditions, including moving grid UDF)

一本介绍fortran语言的不错的书籍，希望你喜欢，版权归属原作者，仅供学习交流(A good book for learning Fortran language, if you read it carefully, you will get what you want.)

针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足，本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化，并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率，提高解的精确，同时还保持了较低的计算复杂度，具有良好的稳健性。(TSP problem solving for the traditional algorithms such as genetic algorithms, particle swarm optimization accuracy and solving the scale, there is a certain lack of a dynamic programming algorithm-based particle swarm optimization algorithm. The algorithm using dynamic programming method to achieve the evolution of information exchange between the particles and the particles, and particle swarm particle scale-free information guide network topology map to connect. The simulation results show that this method can effectively reduce the error rate and improve the solution precision, while maintaining a low computational complexity, good soundness.)

混沌仿真CHEN系统仿真，陈关荣老师的混沌系统。(y_e2 = c*y_h + (c - a)*(x_0+(h/2)) -(x_0+(h/2))*(z_0+(h/2));)

abaqus umat与vumat之间的转换(interface between umat and vumat)

说明：  c语言编写的高效用LU分解法求任意维数的矩阵的逆，它是经典书籍《算法导论》（第二版）中矩阵求逆的c语言实现。 (The algorithm of matrix inverse is based on LU decomposition which is proposed by the book of introduction to algorithm (second edition).)

PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 (PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

一个自己弄的四旋翼的非线性动力学模型的m文件(nonliner model for quadrotor)