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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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