hybrid_pseudo_L

ADINA 系统是一个单机系统的程序，用于进行固体、结构、流体以及结构相互作用的流体流动的复杂有限元分析。借助 ADINA 系统，用户无需使用一套有限元程序进行线性动态与静态的结构分析，而用另外的程序进行非线性结构分析，再用其他基于流量的有限元程序进行流体流动分析。此外， ADINA 系统还是最主要的、用于结构相互作用的流体流动的完全耦合分析程序（多物理场）。(ADINA System is a stand-alone system program for performing complex fluid flow finite element solid structure, and fluid structure interaction analysis. With ADINA system, users do not need to use a finite element program linear static and dynamic structural analysis, but with additional nonlinear structural analysis program, and then the other program flow based on finite element analysis of fluid flow. In addition, ADINA system or main, fully coupled analysis program for fluid flow structure interaction (multi-physics).)

mumford source code........

几种计算阶乘、阶乘之和的算法，由于计算机存储问题，一般阶乘不可能算得太大，只是一种方法。(Several computing factorial, factorial, and the algorithm, due to computer storage problems, the general factorial can not be considered too great, is only a way.)

利用MATLAB实现了16位快速傅立叶变换，并与自包含函数进行了比较。(The 16-bit Fast Fourier Transform is realized by using MATLAB and compared with the self-contained function.)

The Polarized light Monte Carlo programs described here keep track of the status of polarization of light traveling through a scattering media.(polarized monte carlo)

该函数程序用于计算大气米散射中吸收、散射、衰减、后向散射。(Computation of Mie Efficiencies extinction (qext), scattering (qsca), absorption (qabs), backscattering (qb), asymmetry parameter (asy=<costeta>) and (qratio=qb/qsca).)

二维有限元源代码，为位势问题基本代码，具有一定实用性(Two-dimensional finite element source code for potential problems basic code, with some practical)

基于模式耦合方法建立三维面波传播模型，该代码对于做波场模拟的同学很有用。(This program calculates the wavefield produced by a monochromatic surface wave mode incoming on a 3D cartesian structure. It is based on mode coupling and multiple scattering.)

说明：  拓扑优化MMA算法从空间的一个初始设计点出发，沿着某个搜索方向以适当步长的迭代格式 ，实现对设计变量的修改，以获得的值。(Starting from an initial design point in space, the topology optimization MMA algorithm modifies the design variables in an appropriate iterative format along a certain search direction to obtain the optimal value)

说明：  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 Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)