AGJDN

地震勘探中，有限差分正演方法的简单一维数值模拟(Seismic exploration, forward finite difference method is simple one-dimensional numerical simulation)

说明：  C++ SGP4 Satellite Library

塔式起重机建模文档，非常棒的商业流程和代码，可以用于ANSYS结构建模学习和工程应用实践练习，其中参数可以用户自己参考修改编写！ 此.txt文档为ANSYS的命令流（类似于ForTran）(Tower crane model documentation, great business processes and code that can be used ANSYS structural modeling study and practice of engineering practice, in which parameters can be written to modify the users own reference!)

说明：  编程教程，帮助入门学者学习建模，从初级开始，逐步深化，非常有帮助(Programming tutorials, help beginners learn modeling, from the beginning, gradually deepen, very helpful)

fft变换后求出主频，FFT transform to calculate frequency

矩量法仿真电磁辐射和散射的源代码（c++） (Moment Method Simulation of electromagnetic radiation and scattering of the source code (c++))

四面体网格划分的有限元计算源代码，在将变形体划分为四面体后，输入节点坐标，程序利用弹塑性本构，将载荷和位移关系转变为线性方程组，是一个很好的求解简单三维变形体的程序，还可输出单元变形量，应力等。(Tetrahedral mesh of the finite element method source code, in the deformed tetrahedron is divided into, the input node coordinates, the program using elastic-plastic constitutive, will be the relationship between load and displacement into linear equations, is a very good Solving a simple three-dimensional deformation body procedures, but also the output unit deformation, stress and so on.)

说明：  利用有限差分法求解雷诺方程，进而可以求解气体静压轴承的特性(The Reynolds equation is solved by the finite difference method, and the characteristics of aerostatic bearing can be solved.)

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.)

最小二乘支持向量机工具想的设计，及其使用工具箱的指导手册。(The least squares support vector machine tool design think its use toolbox guidance manual.)