多维随机数的生成方法

计算层合板各层主应力，主应变，及层合板失效强度和极限强度(The layers of laminated plate are calculated principal stress, principal strain, and the failure strength and ultimate strength of laminated plates)

电磁场的时域有限元仿真,用于学习电磁场的时域计算。(Time domain electromagnetic finite element simulation for learning time-domain electromagnetic field calculation.)

由美国圣母大学Jena教授及其学生编写的关于计算半导体迁移率的matla脚本文件。(Jena professor from the University of Notre Dame and his students prepare for the calculation of a series of semiconductor mobility matlab script file.)

说明：  可用于层次分析法比较评价，主函数输入初始矩阵，调用层次分析函数(It can be used for comparative evaluation of analytic hierarchy process. The main function input the initial matrix and call the analytic hierarchy process function.)

最小二乘法拟合进行n次多项式拟合，N用来控制拟合的次数，例如N=5时进行4次多项式拟合，还回的是拟合系数(Least squares fit polynomial n times, N is used to fit the number of control, e.g., N = 5 When quartic polynomial fitting, further back are fitting coefficients)

H无穷大优化算法代码，用于计算固定阶数的控制器参数优化(HIFOO- A MATLAB package for fixed-order controller design and H-infinity optimization)

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.)

高光谱解混合方法，变分增强拉格朗日线性解混合方法。(A Variable splitting Augmented Lagragian Approach to Linear Spectral Unmixing)

说明：  VC实现，天文导航算法及实现 包括数据的获取、加工、处理、保存为文件(VC, astronomy, navigation algorithm and implementation including data acquisition, processing, handling, preservation of documents)

说明：  气泡上浮实验，基于fluent的二维模型(Bubble Floating Experiment)