crackprop_modeI_lefm_xfem_cpe4

说明：  用LBM代码编写的由于温差而产生的自然对流小程序(As with the LBM code written in natural convection resulting from temperature applet)

牛顿迭代法，用于求解非线性方程，具体使用方法见程序内部说明。(Newton iteration for solving nonlinear equations, the specific use of the procedure see the internal note.)

说明：  牛顿迭代法的matlab代码，数值分析中重要的一个算法(Matlab code of Newton iterative method)

计算重力异常,只需要输入最大重力场模型的最大阶数以及重力场模型文件名在程序里设置经纬度范围和间隔即可得到重力异常(Gravity anomaly)

多相流cfd程序，用fortran实现，有多流体和dem计算功能，当然还有其它更多功能(MFiX is a general-purpose computer code developed at the National Energy Technology Laboratory (NETL) for describing the hydrodynamics, heat transfer and chemical reactions in fluid-solids systems. It has been used for describing bubbling and circulating fluidized beds and spouted beds. MFiX calculations give transient data on the three-dimensional distribution of pressure, velocity, temperature, and species mass fractions. MFiX code is based on a generally accepted set of multiphase flow equations. The code is used as a "test-stand" for testing and developing multiphase flow constitutive equations.)

有限元热计算的算例，做有限元热分析的朋友比较有用(Finite element calculation of hot example, to do finite element analysis of hot Friend more useful)

ANSYS教程，《ANSYS有限元分析实用教程》源代码("ANSYS finite element analysis of practical course," the source code)

说明：  《有限元方法编程（第三版）》随书源码。 采用 Fortran 90 编制，近 400 个计算子程序。在 64 位机器上编译通过，并运行正确。( Finite Element Method Programming (Third Edition) With the book source. The preparation of the use of Fortran 90, nearly 400 calculation subroutine. 64 machines in the compiler is passed, and run correctly.)

C语言版,机载SAR回波仿真程序，附有FFT和复数库，以及位图显示模块。本程序注释详解，对加深SAR的理解有很好的帮助(C language version, airborne SAR echo simulation program with FFT and complex database, as well as bitmap display module. Detailed notes of this procedure, for deepening the understanding of SAR has a good assist)

对于方程组AX=b，当系数矩阵非奇异时，对原方程进行改写，利用公式X^k=BX^(k+1)+g进行迭代求解。(For equations AX = b, when the coefficient matrix is ​ ​ nonsingular, rewriting the original equation, using the formula X ^ k = BX ^ (k+1)+g for iterative solution.)