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xy11111111111
- 使用全选主元高斯,约当消去法求解线性方程组-use PCA Gaussian election, when the elimination of about solving linear equations
bchol0
- 复矩阵求逆的全选主元高斯-—约当消去法，求复矩阵的逆矩阵
achol0
- 用全选主元高斯—约当消去法求解系数矩阵为稀疏矩阵的大型方程组
rinv
- 本程序开发环境为c++ builder.是一个c控制台程序.主函数通过调用子函数int rinv(int n,double a[])实现了全选主元高斯-若尔当消去法求矩阵的逆.
det
- 用全选主元高斯(Gauss)消去法计算n阶方阵的行列式值。
chenagaus
- 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method -- to return to the original equation is expressed by the coefficient matrix, a sign of the return value
Gauss_yuedang
- 全选主元高斯－约当消去法，param mtxResult - Matrix对象，返回方程组的解，return bool 型，方程组求解是否成功-Select All PCA Gauss- Jordan elimination method, param mtxResult- Matrix object, return to the solution of equations, return bool type, the success of Equations
fuxishufangchengzu
- 复系数方程组的全选主元高斯－约当消去法 系数矩阵的虚部矩阵 param mtxConstImag - 常数矩阵的虚部矩阵-Complex coefficients equations PCA Gaussian Select- about when the elimination of the imaginary part of coefficient matrix matrix param mtxConstImag- constant matrix the imaginary part
include
- 用全选主元高斯约当消去法求N阶复矩阵的逆矩阵其中A=AR+JAI-Select All PCA using Gauss Jordan elimination method for N-order complex matrix in which the inverse matrix A = AR+ JAI
inverse
- 主要内容：在visual studio上实现矩阵求逆的过程 矩阵求逆：用全选主元高斯约当消去法求n阶是矩阵A的逆矩阵A-1。其中包括矩阵求逆算法描述 -Main elements: the visual studio to achieve the process of matrix inversion matrix inversion: The Select pivot Gauss Jordan elimination order to n-order matrix A is the i
C_J_Complex
- 采用全选主元高斯－约当消去法求解复系数线性代数方程组。其中ar存放复系数矩阵实部，ai存放复系数矩阵虚部。br存放右端复常数向量实部，返回解向量实部；bi存放右端复常数向量虚部，返回解向量虚部。-With full pivoting Gauss- Jordan elimination method for solving linear algebraic equations with complex coefficients. Which ar stored real part of compl
Cjordn0
- 全选主元高斯-诺尔当消去法求解具有多组实常数向量的实系数线性方程组的C语言描述，算法-Full pivoting Gauss- Noel elimination method as a real constant vector with a multiple linear equations with real coefficients of C language descr iption of the algorithm
Gauss---Jordan
- 用全选主元高斯-约当消去法求解实系数方程组和复系数方程组-With full pivoting Gauss- Jordan elimination method to solve equations with real coefficients and complex coefficients of equations
Gauss_Jordan
- 大型稀疏方程组的全选主元高斯-约当消去法，面对迭代法解线性方程组是会出现除数为0的情况，可用这种方法解决。-the face of iterative method for solving linear equations is zero divisor will be the case, can be resolved in this way.
matrix
- 此包包含了众多矩阵处理程序，能够满足矩阵处理的一般要求，由于将各功能分开到不同的“.cpp”文件中，故使用时需要用户自行选取更换合适自己使用的“.cpp”文件。其中，矩阵功能有：输出矩阵、矩阵转置、矩阵归一化、判断矩阵对称、判断矩阵对称正定、全选主元法求矩阵行列式、全选主元高斯(Gauss)消去法求一般矩阵的秩、用全选主元高斯-约当(Gauss-Jordan)消去法计算实(复)矩阵的逆矩阵、用“变量循环重新编号法”法求对称正定矩阵逆、特兰持(Trench)法求托伯利兹(Toeplitz)矩阵逆、
jiefangcheng
- 求解复系数方程组的全选主元高斯—约当消去法-equation set
GJDN
- 全选主元高斯-约当消去法同时求解系数矩阵相同而右端具有m组常数向量的线性代数方程组AX=B的全部解-QuanXuan primary gaussian-about when elimination technique and then the coefficient matrix is the same and the right side of the constant vector with m linear algebra equations AX = B of all solutions
ACJDN
- 用全选主元高斯-约当消去法求解系数矩阵相同而具有多组右端常 数向量的复系数线性代数方程组AX=B-PCA Gaussian with Select- Jordan elimination method for solving the same coefficient matrix and constant vector with multiple groups of the right end of the complex coefficients of linear algebraic e
CPP-commonly-used-algorithm
- C++常用数据集，包括“求赫申伯格矩阵全部特征值的QR方法”、"求解复系数方程组的全选主元高斯\|约当消去法"等。-C++ commonly used data sets, including " seeking Hoeschen Berg matrix QR method all eigenvalues" , " solving equations with complex coefficients Select PCA Gaussian \ | Jordan elim
GAUSS-JORDAN
- 用全选主元高斯-约当消去法同时求解系数矩阵相同而右端具有m组常数向量的n阶线性代数方程组-With full pivoting Gauss- Jordan elimination method for solving the same time while the right side has the same coefficient matrix of linear algebraic equations of order n m group constant vector