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ANSYS教程，《ANSYS有限元分析实用教程》源代码("ANSYS finite element analysis of practical course," the source code)

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.)

阻尼牛顿法、最速下降法、变尺度法的matlab程序。(Damped Newton' s method, steepest descent method, variable metric method matlab program.)

windsat卫星风场数据读写操作及说明(windsat reader)

计算方法：主要是高斯消去法的C语言算法实现(Calculation method: Gaussian elimination)

fortran90程序，运用Runge-Kutta法数值求解常微分方程的程序，非常适用，包括源代码、一个算例和输出程序(fortran90 procedures, the use of Runge-Kutta method for numerical solution of ordinary differential equations of the process, is very applicable, including source code, a numerical example and output procedures)

说明：  Matlab下基于蒙特卡洛方法解辐射传输方程(solution of radiation transmission equation based on Monte Carlo method under Matlab)

hybrid particle swarm optimization

说明：  经过优化的C代码实现的Gauss-Seidel 迭代算法(Optimized C code of the Gauss-Seidel iterative algorithm)

fast fourier transformation