ABAQUS计算多相材料的前处理器 voronoi

精密星历内插 matlab代码,包含误差分析(Precise ephemeris interpolation matlab code, including error analysis)

运用线性矩阵不等式(LMI)求解鲁棒优化问题。该LMI不等式求解代码，更具有一般性，结合matlab中help命令,能够方便的对新的LMI问题求解(This programme code is useful for the common optimization problem, combined with the description of matlab help statement, a new LMI problem can be easy to solve. )

用C语言来求解n维线性方程组的解，即高斯消元法求解线性方程组(Gaussian elimination method with n-dimensional linear equations)

电磁波走时层析成像图像重建正演反演程序设计(Electromagnetic wave travel tomography image reconstruction inversion inversion program design)

五点差分法(matlab)解椭圆型偏微分方程方程,分法,偏分,五点差分,椭圆型,偏微分方程(Five-point difference method (matlab) solutions of elliptic partial differential equations, sub-law, partial points, five-point difference, elliptic partial differential equations)

基于matlab的利用传输矩阵法对相移光栅发射谱、时延、色散的数值模拟(phase-shifts of fiber grating)

压缩包中包含五个CFD基础程序，其中MacCormack1DSolveRiemann.for是一维欧拉方程求解（黎曼问题），UpwindTVD_1D.for是一维可压粘性N-S方程求解，MAC-Chorin2D.for是利用MAC算法和Chorin压力迭代解法求解 二维不可压缩黏性平板间Poisuille流动问题，Lax-Webdroff2D.for是利用Lax-Webdroff差分格式求解二维平面激波反射问题，fvm_upwind_MAC_couette.for是以一阶迎风型离散格式和Chorin压力迭代求解couette二维流动问题。(CFD compression package contains five basic program, which is an Euler equation solving MacCormack1DSolveRiemann.for (Riemann problem), UpwindTVD_1D.for is one-dimensional compressible viscous NS equation solving, MAC-Chorin2D.for is the use of algorithms and MAC Chorin pressure iterative solution for solving the two-dimensional incompressible flow problems between viscous flat Poisuille, Lax-Webdroff2D.for using Lax-Webdroff difference scheme for solving the two-dimensional plane shock wave reflection problem, fvm_upwind_MAC_couette.for based on first order upwind scheme and Discrete Chorin pressure couette iterative solution of two-dimensional flows.)

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.)

弹性波数值模拟，可以修改模型，可以做波场模拟，做面波的地震记录((Numerical simulation of seismic surface waves, you can modify the model, you can do the wave field snapshots do surface wave seismograms))

实现矿井采空区的孔隙率和粘性阻力系数，主要用于采空区瓦斯抽采(The porosity and viscosity resistance coefficient of mine goaf can be achieved.)