Riemann-problems

相场法材料计算的modelc-alloy 对应的基础代码，自取基础有用(The basic code corresponding to modelc-alloy for phase field method material calculation, useful for self-extraction)

变步长网格，声波方程，有限差分数值模拟程序，二阶(Variable step mesh, acoustic equation, finite difference numerical simulation program, second order)

说明：  ansys二次开发 开发语言主要基于UIDL和APDL开发方法 来源网络(ansys secondary development source. UIDL and APDL develapment langrage.)

8.1 最小二乘曲线拟合hpir1.c 8.2 切比雪夫曲线拟合hchir.c 8.3 最佳一致逼近的里米兹法hremz.c 8.4 矩形域的最小二乘曲面拟合hpir2.c(8.1 Least-squares curve-fitting hpir1.c 8.2 Chebyshev curve fitting the best uniform approximation hchir.c 8.3 years Meeds law hremz.c 8.4 rectangular domain least-squares surface fitting hpir2.c)

给出变量的上下边界、初值和代价函数，能够搜索代价函数最小值时的变量取值。属于带约束的优化算法，可以用来求算非线性方程组。(STRSCNE is a Matlab code for constrained nonlinear systems of equations F(x)=0 l<=x<=u where F: R^n--> R^n, l and u are vectors of dimension n. Non-existent lower and upper bounds, i.e. entries of l and u equal to minus o plus infinity, are allowed. The algorithm is a globally convergent procedure that combines Newton method and an elliptical trust-region approach. The elliptical trust-region is defined employing a scaling diagonal matrix D and the trust-region subproblem is approximately solved by the dogleg method. Only strictly feasible iterates are generated. Various input/output options are provided, and we refer to the code itself for further documentation. )

主要是基于matlab编程的机器学习的各种算法的实现，对补补基础很好(Matlab programming machine learning algorithm, Bubu basis of good)

matlab计算码头堆场集装箱的操作，集卡，场桥，岸桥(matlab container)

电容层析成像的landweber算法演示程序，并有详细的说明。(The capacitive tomography of the landweber algorithm demonstrates the program and has a detailed description.)

矩量法的fortran程序，利用矩量法求解球散射的程序，希望大家好好学习(mom fortran program)

说明：  包括我自己写的一些数值分析用到的函数 包括矩阵的LU分解的两种方法, Cholesky分解, 以及线性方程组的迭代解法中的雅克比, 高斯-赛德尔以及线性松弛法的函数(Including myself, used to write some of the numerical analysis functions, including matrix LU decomposition of two methods, Cholesky decomposition, and iterative solution of linear equations in the Jacobi, Gauss- Seidel and linear relaxation method function)