SVD

wolfe程序模块的C++算法，可以重复使用,对于解决一维搜索是很好的..(C++ algorithm wolfe program modules can be reused for solving one-dimensional search is good ..)

RD成像算法，快速傅里叶变换函数，适合学习(RD imaging algorithm, fast Fourier transform function, suitable for learning)

一维CSAMT正演程序，对学地球物理的有帮助(CSAMT)

这个是计算声传播的各种模型 包括简正波kraken波数积分scooter等模型 有很好的学习价值 (a system program for acoustic propagation calculation)

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.)

说明：  本文为JC法程序，用于计算结构的可靠度指标。(JC method for structure reliablibity.)

正入射的自由曲面透镜设计，计算获得透镜的二维坐标(The free-form surface lens is incident on the design, the two-dimensional coordinates of the lens calculated)

糊涂先生给他的五个朋友写信，他写了五封信，但是当他的朋友收到信后，都告诉他：“你的信寄错了”。那么请你计算一下：出现这种情况的概率有多少？（假设糊涂先生是随机地往信封里装信的），你能不能把所有的情况都列出来呢(Mr. foolish to write him five friends, he wrote five letters, but when his friend received a letter, told him: )

别人的程序（Fortran）是关于边界元法求解声学问题。(Someone else' s program (Fortran) is on the boundary element method to solve acoustic problems.)

说明：  光流场HS算法，主要用的是差分算法，MATLAB编写(Optical flow field HS algorithm, the main differential algorithm)