dian004

摩擦力是抵抗固體表面，流體層和材料元件相對滑動的相對運動的力。有幾種類型的摩擦：幹摩擦是一種與之相反的力(friction is the force resisting the relative motion of solid surfaces, fluid layers, and material elements sliding against each other. There are several types of friction: Dry friction is a force that opposes the)

一个经典的基于排挤机制的小生境遗传算法程序 不错的 很好(A classic the niche genetic algorithm based on crowding mechanism of good is very good)

说明：  相变UDF，包括质量传递和热量传递，能够进行气液相变的模拟(Phase transition UDF, including mass transfer and heat transfer, gas-liquid phase transition can be simulated)

说明：  Abaqus复合材料Hashin失效子程序(Failure subroutine of Hashin for ABAQUS composite)

matlab环境下，克里金插值中用回归方法和线性方法拟合出的球状模型的系数。(Kriging the spherical model coefficients using regression fitting in matlab.)

矩阵运算实矩阵相乘复矩阵相乘实矩阵求逆的全选主元高斯约当法(matrix calculation real matrix multiplication complex matrix multiplication matrix inversion is a wholly-elected PCA Gaussian about when France, etc.)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

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

数值分析非线性方程求解（五种方法）。分析牛顿法、割线法、对分法、Steffensen法、简易牛顿法解线性方程组的性质(Numerical analysis of nonlinear equations (five methods). Nature of the analysis of Newton, secant, bisection method, Steffensen method, simple Newton method for solving linear equations)

多目标遗传算法，求得pareto最优解集，可以用于各种工程的数学计算(Multi-objective genetic algorithm, pareto optimal solution set is obtained, can be used for a variety of engineering mathematics)