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高斯列主元消去法解线性方程组
- 高斯消去法是一个古老的求解线性方程组的方法，但它的改进、变形得到的主元素消去法仍然是计算机上常用的计算方法。-Gaussian Elimination is an ancient solving linear equations method, but it's improving, the deformation of the main elements elimination method is commonly used
雅可比迭代解线性方程组
- 雅可比迭代解线性方程组 这个也是计算方法中另一种 求解线性方程组的计算程序-Jacobi iterative solution of linear equations This is a separate calculation method for solving linear equations of computational procedures
牛顿迭代法_matlab程序(解线性方程组)
- Newtong迭代法求解线性方程组..源程序
mysor
- SOR（超松弛）迭代发求解线性方程组问题，带有Hilbert矩阵生成程序和其不同维数下求解的结果对比作图-SOR (Overrelaxation) iteration made for solving linear equations, with Hilbert matrix formation process and the different dimensions of the results evaluated Comparati
LU分解法
- 用C语言来实现的，求解线性方程组，还可以实现解向量的一个程序。-The decomposition realizes with the C language, solution system of linear equations, but also may realize the solution vector one procedure
Jacobi迭代法
- 用C语言来实现的。求解线性方程组的迭代，是一种简单的迭代法，可不如 Gauss-Seidel迭代法收敛速度快。-Use c language to make a Jacobi iterative arithmetic which could solve the linear equation group, but it s may be more slower than the Gauss-Seidel iterative arithm
数值计算_病态线性方程组的求解
- 这是数值分析的一些作业实验，文件中有详细的文档对理论，实验和算法的说明，用于病态方程组求解的源代码-This is the numerical analysis of the experimental operation, the paper detailed documentation of theory, experiment and the algorithm shows that morbid equation for solv
（SOR）
- 对于求解线性方程组，松迟法不为一种好方法．本程序着重于 用Ｌ Ｄ Ｕ来求解． -for solving linear equations, the late Tony not for a better method. This program focuses on D U of L to solve.
数值分析课程设计
- 本人的数值分析课程设计 ，比较完整！Gauss顺序消去法与Gauss列主元消去法是计算机上常用来求解线性方程组的一种直接的方法。就是在不考虑舍入误差的情况下，经过有限步的四则运算可以得到线性方程组的准确解的一类方法。-Numerical analysis of the curriculum design, a relatively complete! Gauss law and order eliminate Gauss out PCA
GaussElimination
- Gauss列主消元法，用于求解线性方程组,c代码。-Gauss out the main elimination method for solving linear equations, c code.
xianxingfangchengzudejie
- 解线性方程组的软件源代码。用于求解线性方程组-solving linear equations software source code. For solving linear equations
Lineasolvebycolum
- 对于线性非齐次方程组的求解，列主元求解法，简单快捷。这是自己写的c程序列主元法求解线性方程组。-for non-homogeneous linear equations, the solution are the main element method, a simple and quick. This is, write out the procedure c main element method for solving linea
LUfjdgsfsx
- 本文对求解线性方程组的LU分解递归算法进行了研究，给出了算法的详细推到过程，并用支持递归过程的FORTRAN90语言对算法进行了实现。转载，陈建平-err
gauss
- 采用全选主元的高斯消去法求解线性方程组，函数名为rgauss，返回值为一个数组存放方程的解-Select All PCA using the Gaussian elimination method to solve linear equations, function called rgauss, the return value is an array of storage equation
GaussJordan
- GaussJordan法解线性方程组，最基础的求解线性方程组的方法-GaussJordan Solving linear equations, solving the most basic method of linear equations
newtonchazhi
- newton插值应该比lagrange好一点点，适合求解线性方程组，-lagrange interpolation newton than a little bit of good, suitable for solving linear equations,
gausseliminatetosolvelinearequation
- 高斯消元法求解线性方程组，fortran源代码编辑-gauss eliminate to solve lineare quation
CG
- 程序可以求解线性方程组，迭代速度相对较快，复杂度O(Nlog(N))(The program can solve the linear equations, the iteration speed is relatively fast, the complexity is O (Nlog (N)))
求解线性方程组的迭代法
- 该matlab程序为求解线性方程组的解的迭代算法合集，也是最基础最简单的求解线性方程组的迭代法，简单易懂。(Methods for solving linear equation.)
Generalized Inverse Matrix
- 使用Hermite标准型、SVD分解和满秩分解求矩阵的广义逆，在此基础上求解线性方程组的解。(Hermite's canonical form, SVD decomposition and full rank decomposition are used to find the generalized inverse of the matrix, and then the solution of the linear equation