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Edge element based 2D FEM code to calculate Electromagnetic Simulations

基于经典的增广拉格朗日乘子法, 对求解一类带有特定结构（主要是针对凸规划）的非光滑等式约束优化问题, 我们提出、分析并测试了一个新算法. 在极小化增广拉格朗日函数的每一步迭代中, 该算法有效结合了带有非单调线性搜索的交替方向技术, 我们建立了算法的收敛性, 并用它来求解在带有全变差正则化的图像恢复问题.(Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algorithm for solving a class of equality-constrained nonsmooth optimization problems (chiefly but not necessarily convex programs) with a particular structure. The algorithm effectively combines an alternating direction technique with a nonmonotone line search to minimize the augmented Lagrangian function at each iteration. We establish convergence for this algorithm, and apply it to solving problems in image reconstruction with total variation regularization.)

对轨道不平顺采用耿贝尔分布进行拟合优度检验(On track irregularity using Gumbel distribution goodness of fit test)

完成了复数矩阵的计算,采用了并行算法原理，较快速的处理了稀疏矩阵方程结构。(Completed a complex matrix computation, parallel algorithm principle, more rapid processing of the sparse matrix equation structure.)

AHP层次分析法计算判断矩阵的最大特征值,使用高阶累积量对MPSK信号进行调制识别，包括四元数的各种计算。( Calculate the maximum eigenvalue judgment matrix of AHP, Using high-order cumulants of MPSK signal modulation recognition, Including quaternion various calculations.)

说明：  适合初学者学习的fluent网格划分以及udf动网格(A fluent udf example)

求解声学问题的边界元程序，给声学研究的人员很大启发(Solving the problem of acoustic boundary element program, to inspire great acoustic research staff)

用fortran语言编写的传统矩量法求解立方体的RCS的程序。(The fortran language prepared by the traditional method of moments for solving the cube RCS program.)

程序用Fortran95标准，给出了双共轭梯度法求解超大型稀疏矩阵的子程序。还给出了一个例子，例子的数据用索引存储了维数将近10万的对称稀疏正定矩阵。(Using Fortran95, a method of Biconjugate gradient for super linear sysem is provied. In addition, a example with the storage type of row-column index is also provide for test these subroutines. )

数学最优问题中，拉格朗日乘数法（以数学家约瑟夫·路易斯·拉格朗日命名）是一种寻找变量受一个或多个条件所限制的多元函数的极值的方法。(In the mathematical optimization problem, the Lagrange multiplier method (named by the mathematician Joseph Luis Lagrange) is a method of finding the extremum of a multivariate function which is restricted by one or more conditions.)