搜索资源列表
实验5-雅可比迭代
- 用Matlab软件以及雅克比迭代和高斯-赛德尔迭代解方程组Ax=b,分析、比较其结果-using Matlab software and the iterative and Jacques than Gauss - Seidel iterative solution equations Ax = b, analysis, comparison of the results
matlab-code
- matlab解线性方程组的源代码 function x=nagauss2(a,b,flag) % 用途:选列主元Gauss消去法解线性方程组ax=b % 格式:x=nagauss2(a,b,flag) a为系数矩阵,b为右端列向量,flag若为0,则显示中间过程 -Matlab solution of linear equations source code function nagauss2 x = (a , b, flag)% purposes : a selection P
qiujie
- 【问题描述】已知线性方程组AX=B,求解该方程组。参考算法: 消去法:将列向量B加到矩阵A的最后一列,构成增广矩阵AB。对AB进行下列三种初等变换,使原矩阵A的部分的主对角线上的元素均为1,其余元素均为0,则原列向量B的部分即为X的值: 1. 将矩阵的一行乘以一个不为0的数 2. 将矩阵的一行加上另一行的倍数 3. 交换矩阵中两行的位置 - [ Question descr iption ] known system of linear equations AX=B, s
lu_decompose
- 数值与符号计算LU分解法,运用LU分解函数求解Ax=b的矩阵运算-numerical and symbolic computation LU decomposition, using LU decomposition function for Ax = b matrix operation
EOM
- 拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数(微分),微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程AX=B-Lagrange interpolation polynomial fitting, polynomial interpolation Newton, Euler equations partial differential equations, Limit the use
gsxy
- // 带有列主元的高斯消元法 // 功能: 求解线性方程组 Ax = b // 参数: A - 指向n*n系数矩阵的指针 // b - 常数向量的指针 // n - 方程组的维数 // 返回值:0 - 如果成功。线性方程组的解保存在 b 中 // 1 - 求解失败
ACGAS
- 用全选主元高斯消去法求解N复系数阶线性方程组AX=B
MCHOLSK
- Subroutine MCHOLSK :To solves a hermitian positive definite set of complex linear simultaneous equations (AX=B) using the Cholesky decomposition method.
PCG
- % SSOR预处理的共轭梯度法求解方程Ax=b % 输入参数说明 % A 正定矩阵[n*n] % b 右边向量 % omega SSOR预处理参数(0--2) % Times 迭代次数 % errtol 给定误差终止条件 % %输出参数 % NewX 方程Ax=b的x近似解 % avgerr 求解的当前平均绝对误差
mySOR
- 实现N阶线性方程组Ax=b逐次超松弛迭代法的通用程序
seidel迭代法
- gauss-seidel迭代法解Ax=b的解-Gauss - Seidel iterative method for Ax = b Solution
AX=b
- 求解大规模非对称线性方程组AX=b的迭代方法-Solving large-scale non-symmetric linear equations AX = b of the iterative method
Gauss_elimination
- Gauss Elimination Algorithm is used to solve linear equations in the form Ax=B, find rank of matrix and to find inverse of matrixes. The program is done in matlab platform.
penta2
- Solves the problem Ax=b when A is pentadiagonal and strongly nonsingular. This is much faster than x=A\y for large matrices. -Solves the problem Ax=b when A is pentadiagonal and strongly nonsingular. This is much faster than x=A\y for lar
cramer
- Solve the system Ax=b.
lsq
- Least squares solution of Ax=b.
How-to-avoid-the-ax-reviewers
- 如何避免审稿人的大斧,十分经典,吐血提供,不看别后悔!-How to avoid the ax reviewers
AX=B-jacobi
- 根据雅克比迭代法求解线性方程组AX=B的MATLAB程序。经过算例验证正确。适用性非常广。-According to Jacobi iterative method for solving linear equations AX = B on MATLAB. After a numerical example is correct. Very wide applicability.
the-solution-to-AX=B
- 对任意线性方程组AX=B,利用矩阵等价变换形成上三角矩阵,在利用高斯消元法中的回代过程简便的求解方程组AX=B的解。本程序是用MATLAB编写的,运行时只要输入矩阵A和B,即可得到方程的解。程序中有详细的注释,很好理解。本程序具有通用性。-For any system of linear equations AX = B, the use of equivalent transformation matrix to form the upper triangular matrix using G
Ax-=-b-is-a-simple-solution-using-C
- 用C语言求解N阶线性矩阵方程Ax=b的简单解法-N-order linear matrix equation Ax = b is a simple solution using C language to solve