PAMELA

说明：  《遗传算法及其在电力系统中的应用》华中科技大学版("Genetic Algorithms and Their Applications in Power Systems" 2002)

这是大地电磁一维正演程序，只要输入电阻率和深度即可正演计算；使用的是卡尼亚视电阻率公式，有关说明已经在文件中说明。(This is a one-dimensional magnetotelluric forward the program, as long as the input resistivity and depth to forward calculation use Carney ATV resistivity formula, and instructions in the file description.)

数值传热学Simple算法，Fortran编写(Simple using Fortran)

计算岩石表面裂隙宽度并求取其表面粗糙度系数(Calculate the rock surface crack width and strike the surface roughness coefficient)

python机器学习预测分析核心算法的例程(Python machine learning prediction and analysis of core algorithm routines)

最小二乘算法，最小均方误差等算法的MSE的计算，MATLAB代码(Least-squares algorithm, such as minimum mean square error MSE calculation algorithm, MATLAB code)

关于常用的FORTRAN算法，该书有关于线性方程组的求解，矩阵特征值的计算，常微分方程组的求解等(FORTRAN on the commonly used algorithms, the book on the linear equations, eigenvalue calculation, solving ordinary differential equations, etc.)

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.)

支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。(Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.)

ansys二次开发损伤本构关系的详细代码，已经调试成功(ansys damage constitutive secondary development of detailed code, debugging has been successful)