hPSO

计算fluent相变的udf模型，包括气相到液相，液相到气相的双向传递。(Calculate the udf model of fluent phase transition)

描述了雷达sra成像等，用c语言开发 ，包含有fft等程序(Describes the radar imaging Sra, using c language development, contains the procedures fft)

利用matlab编写的二维网格的时域有限差分算法(Matlab prepared using a two-dimensional grid finite-difference time-domain algorithm)

是CA算法的test程序，用于描述微观枝晶长大的代码！(CA algorithm is the test procedure, used to describe the micro-dendrites grew up in the code!)

计算流体力学入门第九章代码 simple 算法(the code for the problem introduced in the book computational fluid dynamics chapter 9 simple algorithm)

面向对象的有限元程序设计。与传统的有限元程序相比，面向对象有限元程序更易于编写、更易于维护和扩充，程序代码的可重用成分更大。(object oriented finite element programming)

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.)

粘弹正演程序和模型实例,2维数值模拟正演，适应于粘弹介质，(This program can be two-dimensional numerical simulation of acoustic wave equation, Viscoelastic isotropic media.)

Faran散射模型，能够计算液体中球形物体的散射声压(The Faran scattering model, able to calculate the scattering of spherical objects in the liquid sound pressure)

关于汉诺塔的代码,中间是用迭代的方法实现的(About Hanio Tower)