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[File Operategauss-C

Description: * 高斯列主元素消去法求解矩阵方程AX=B,其中A是N*N的矩阵,B是N*M矩阵 * 输入: n----方阵A的行数 * a----矩阵A * m----矩阵B的列数 * b----矩阵B * 输出: det----矩阵A的行列式值 * a----A消元后的上三角矩阵 * b----矩阵方程的解X -out the main elements of Gaussian elimination method for solving matrix equations AX = B, where A is N * N matrix, B is N * M matrix * Input : n ---- A phalanx of a few-a matrix * A * m-matrix shown in a few B * b ---- Matrix B * output : det-A matrix of a determinant value ---- A * Elimination of upper triangular matrix * b ---- Matrix The X-Solutions
Platform: | Size: 3241 | Author: xuyan | Hits:

[Windows DevelopGenerator

Description: This a Fibonacci Sequence Generator. I am 15 and this took some thinking. The code is obviously not refined. It does the job. Fibonacci顺序发生器 使用高斯消除法解n阶方程 -This a Fibonacci Sequence Generator. I a m 15 and this took some thinking. The code is obvi ously not refined. It does the job. Fibonacci Sequence Generator use Gaussian elimination method of n-order equation
Platform: | Size: 7041 | Author: cai | Hits:

[Other resourceNumericalLinearAlgebra

Description: 数值线性代数的Matlab应用程序包 共13个程序函数,每个程序函数有相应的例子函数一一对应,以*Example.m命名 程序名称 用途 Method 方法 GrmSch.m QR因子分解 classical Gram-Schmidt orthogonalization 格拉母-斯密特 MGrmSch.m QR因子分解 modified Gram-Schmidt iteration 修正格拉母-斯密特 householder.m QR因子分解 Householder 豪斯霍尔德QR因子分解 ZXEC.m 最小二乘拟合 polynomial interpolant 最小二乘插值多项式 NCLU.m LU因子分解 Gaussian elimination 不选主元素的高斯消元 PALU.m LU因子分解 partial pivoting Gaussian elimination 部分选主元的高斯消元 cholesky.m 楚因子分解 Cholesky Factorization 楚列斯基因子分解 PwItrt.m 求最大特征值 Power Iteration 幂迭代 Jacobi.m 求特征值 Jacobi iteration 按标准行方式次序的雅可比算法 Anld.m 求上Hessenberg Arnoldi Iteration 阿诺尔迪迭代 zuisu.m 解线性方程组 Steepest descent 最速下降法 CG.m 解线性方程组 Gradients 共轭梯度 BCG.m 解线性方程组 Biconjugate Gradients 双共轭梯度
Platform: | Size: 6530 | Author: YUXIANGCHENG | Hits:

[File Formatgauss-C

Description: * 高斯列主元素消去法求解矩阵方程AX=B,其中A是N*N的矩阵,B是N*M矩阵 * 输入: n----方阵A的行数 * a----矩阵A * m----矩阵B的列数 * b----矩阵B * 输出: det----矩阵A的行列式值 * a----A消元后的上三角矩阵 * b----矩阵方程的解X -out the main elements of Gaussian elimination method for solving matrix equations AX = B, where A is N* N matrix, B is N* M matrix* Input : n---- A phalanx of a few-a matrix* A* m-matrix shown in a few B* b---- Matrix B* output : det-A matrix of a determinant value---- A* Elimination of upper triangular matrix* b---- Matrix The X-Solutions
Platform: | Size: 3072 | Author: xuyan | Hits:

[Algorithmqiujuzhendezhi

Description: 1.功能 用全选主元高斯消去法计算矩阵A的秩(C语言) 2.函数参数说明 double a[m][n] : 存放mxn阶矩阵A的元素,返回时将被破坏 int m : 矩阵A的行数 int n : 矩阵A的列数 int rank() : 函数返回A的秩 3.文件说明 rank.c为函数程序 rank0.c为主函数程序-1. Function Select All PCA with Gaussian elimination method to calculate matrix A of rank (C language) 2. Function parameters double a [m] [n]: MXN-order matrix A storage elements will be destroyed upon return int m : Matrix A number of rows int n: matrix A the number of rows int rank (): function to return to A rank of 3. rank.c document describes procedures for the function-oriented function rank0.c procedures
Platform: | Size: 1024 | Author: 罗坤 | Hits:

[Windows DevelopGenerator

Description: This a Fibonacci Sequence Generator. I am 15 and this took some thinking. The code is obviously not refined. It does the job. Fibonacci顺序发生器 使用高斯消除法解n阶方程 -This a Fibonacci Sequence Generator. I a m 15 and this took some thinking. The code is obvi ously not refined. It does the job. Fibonacci Sequence Generator use Gaussian elimination method of n-order equation
Platform: | Size: 7168 | Author: cai | Hits:

[AlgorithmNumericalLinearAlgebra

Description: 数值线性代数的Matlab应用程序包 共13个程序函数,每个程序函数有相应的例子函数一一对应,以*Example.m命名 程序名称 用途 Method 方法 GrmSch.m QR因子分解 classical Gram-Schmidt orthogonalization 格拉母-斯密特 MGrmSch.m QR因子分解 modified Gram-Schmidt iteration 修正格拉母-斯密特 householder.m QR因子分解 Householder 豪斯霍尔德QR因子分解 ZXEC.m 最小二乘拟合 polynomial interpolant 最小二乘插值多项式 NCLU.m LU因子分解 Gaussian elimination 不选主元素的高斯消元 PALU.m LU因子分解 partial pivoting Gaussian elimination 部分选主元的高斯消元 cholesky.m 楚因子分解 Cholesky Factorization 楚列斯基因子分解 PwItrt.m 求最大特征值 Power Iteration 幂迭代 Jacobi.m 求特征值 Jacobi iteration 按标准行方式次序的雅可比算法 Anld.m 求上Hessenberg Arnoldi Iteration 阿诺尔迪迭代 zuisu.m 解线性方程组 Steepest descent 最速下降法 CG.m 解线性方程组 Gradients 共轭梯度 BCG.m 解线性方程组 Biconjugate Gradients 双共轭梯度
Platform: | Size: 6144 | Author: YUXIANGCHENG | Hits:

[Algorithm123

Description: 高斯列主元素消去法求解矩阵方程AX=B,其中A是N*N的矩阵,B是N*M矩阵 -Out the main elements in Gaussian elimination method for solving the matrix equation AX = B, in which A is N* N matrix, B is N* M matrix
Platform: | Size: 1024 | Author: 李超 | Hits:

[Windows Develop6BAND

Description: 用列选主元高斯消去法求解右端具有M组常数向量的N阶一般带型方程组AX=D.其中A为N阶带型矩阵.-PCA with out Gaussian elimination selection method with the M group of the right side of the N-order vector constants with the general equation AX = D. One A for the N-order band-type matrix.
Platform: | Size: 1024 | Author: chen | Hits:

[matlabgauselim

Description: a routine for Gaussian elimination together w/ gepivot.m which you will need for running
Platform: | Size: 1024 | Author: balloo | Hits:

[MPIgauss

Description: 一个不错的全主元高斯消去法并行算法的MPI源程序-a MPI source code for Gaussian elimination s parallel algorithm
Platform: | Size: 3072 | Author: Juri hui | Hits:

[matlabgauselim

Description: Gaussian elimination routine, single RHS, (needs gepivot.m)
Platform: | Size: 1024 | Author: awal | Hits:

[Algorithm6BAND

Description: 用列选主元高斯消去求解右端具有m组常数向量的n阶带型方程组AX=D-With column pivoting Gaussian elimination to solve right end of the constant vector with m groups with n-order equations AX = D
Platform: | Size: 1024 | Author: 段蒙 | Hits:

[matlabGauss_pivot.m

Description: Method Gaussian Elimination with pivoting for Linear Systems
Platform: | Size: 1024 | Author: mahdieh | Hits:

[AlgorithmLECalculator

Description: 3.1 线性方程组类设计 3.2 全选主元高斯消去法 3.3 全选主元高斯-约当消去法 3.4 复系数方程组的全选主元高斯消去法 3.5 复系数方程组的全选主元高斯-约当消去法 3.6 求解三对角线方程组的追赶法 3.7 一般带型方程组的求解 3.8 求解对称方程组的分解法 3.9 求解对称正定方程组的平方根法 3.10 求解大型稀疏方程组的全选主元高斯-约当消去法 3.11 求解托伯利兹方程组的列文逊方法 3.12 高斯-赛德尔迭代法 3.13 求解对称正定方程组的共轭梯度法 3.14 求解线性最小二乘问题的豪斯荷尔德变换法 3.15 求解线性最小二乘问题的广义逆法 3.16 病态方程组的求解 -3.1 system of linear equations class designs 3.2 to choose the principal element gaussian elimination 3.3 to elect principal element Gauss- when approximately the elimination 3.4 duplicate coefficient equation sets all choose the principal element gaussian elimination 3.5 duplicate coefficient equation sets to elect principal element Gauss- when approximately the elimination 3.6 solve three diagonal line equation sets to pursue the law 3.7 common belt equation set s solution 3.8 solution symmetrical equation set s resolution 3.9 solution symmetrical Zhengding equation set s square root method 3.10 solution large-scale sparse equation set to elect principal element Gauss- when approximately the elimination 3.11 solutions hold the Belize equation set s row article to abdicate House Holland who method 3.12 Gauss- the Seydell repetitive process 3.13 solution symmetrical Zhengding equation set s conjugate gradient method 3.14 solution linearity is smallest two rides the questionThe German m
Platform: | Size: 71680 | Author: 王健 | Hits:

[matlabGauss.m

Description: Method Gaussian Elimination with pivoting for Linear System
Platform: | Size: 1024 | Author: Mhdh | Hits:

[matlabGauss_pivot.m

Description: Method Gaussian Elimination without pivoting for Linear Systems Solve Ax = b using Gaussian elimination without pivoting Inputs : A is the n-by-n coefficient matrix b is the n-by-k right hand side matrix Outputs : x is the n-by-k solution matrix- Method Gaussian Elimination without pivoting for Linear Systems Solve Ax = b using Gaussian elimination without pivoting Inputs : A is the n-by-n coefficient matrix b is the n-by-k right hand side matrix Outputs : x is the n-by-k solution matrix
Platform: | Size: 1024 | Author: Mhdh | Hits:

[matlabLU_factor.m

Description: Method with Gaussian Elimination without Pivoting LU factorization of matrix A using Gaussian-elimination without pivoting Inputs : A --> n x n matrix Outputs : L (lower triangular) && U (upper triangular) - Method with Gaussian Elimination without Pivoting LU factorization of matrix A using Gaussian-elimination without pivoting Inputs : A --> n x n matrix Outputs : L (lower triangular) && U (upper triangular)
Platform: | Size: 1024 | Author: Mhdh | Hits:

[matlablu_pivot.m

Description: Method with Gaussian Elimination with Pivoting function [L,U,P] = lu_pivot(A) - Method with Gaussian Elimination with Pivoting function [L,U,P] = lu_pivot(A)
Platform: | Size: 1024 | Author: Mhdh | Hits:

[matlabMATLAB-M-FILES

Description: 数值分析例题,包括欧拉法、龙格-库塔法、牛顿拉夫逊算法、牛顿-斯柯特和高斯消元法-Gaussian Elimination Row Operations Newton Raphson Newton-Cotes integration Euler s method Runga-Kutta gaussjordan
Platform: | Size: 4096 | Author: cecile | Hits:
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