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GAUSSJ
- 用高斯-约当消去法求解A[XY]=[BI].由于消去过程是在全矩阵中选主元来进行的,故可使舍入误差对结果的影响减到最小-Using Gauss- Jordan elimination method to solve A [XY] = [BI]. Since the elimination process is selected in the whole matrix of the PCA to carry out, it will en
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
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
6GJDN
- 用全选主元高斯—约当消去法求解实系数方程组-Select All PCA with Gauss- Jordan elimination method to solve real coefficient equations
CH1
- 1.1 全选主元高斯消去法agaus.c 1.2 全选主元高斯-约当消去法agjdn.c-1.1 Select pivot Gaussian elimination agaus.c 1.2 Select pivot Gauss- Jordan elimination agjdn.c
Delphi_SHU
- 本书目录列表: 第1章线性代数方程组的解法 1.全主元高斯约当消去法 2.LU分解法 3.追赶法 4.五对角线性方程组解法 5.线性方程组解的迭代改善 -Directory listing of this book: Chapter 1 of the solution of linear algebraic equations 1. The whole PCA Gauss Jordan elimination
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. Whic
20116171639319
- 第1章线性代数方程组的解法 1.全主元高斯约当消去法 2.LU分解法 3.追赶法 4.五对角线性方程组解法 5.线性方程组解的迭代改善 6.范德蒙方程组解法 7.托伯利兹方程组解法 -Chapter 1, the solution of linear algebraic equations 1 full pivot Gauss Jordan elimination 2.LU decomposi
gaodengshuxue
- 可实现的算法:软件说明: 1.全主元高斯约当消去法2.LU分解法3.追赶法4.五对角线性方程组解法5.线性方程组解的迭代改善6.范德蒙方程组解法7.托伯利兹方程组解法8.奇异值分解9.线性方程组的共轭梯度法10.对称方程组的乔列斯基分解法11.矩阵的QR分解12.松弛迭代法第2章插值1.拉格朗日插值2.有理函数插值3.三次样条插值4.有序表的检索法5.插值多项式6.二元拉格朗日插值-The algorithm can be rea
solution-of-linear-equations
- 有7种解线性方程组的算法,高斯算法,高斯列主元,高斯完全主元,LU分解法,LU列主元分解法,追赶法,高斯约旦消去法-There are seven kinds algorithm of solution of linear equations, Gaussian algorithm, out PCA Gaussian, Gaussian completely principal component, LU decomposition,
GauseJordan
- 用高斯--约当列主元消去法求线性方程组的解-Gauss- Jordan elimination method for main-element solution of linear equations
SolveLinearEqutations
- 全选主元高斯-约当消去法求解稀疏线性方程组 输入参数a[]系数矩阵,n线性方程阶数,b[]右端项 输出参数b[]方程组的解 返回值 : 1求解成功 0求解失败-Select the main element Gauss- Jordan elimination method for solving sparse linear equations Input parameters a [] coefficient matri
Finalwork
- 结合java图形界面编程实现了计算方法中的相关的算法,包含:雅可比迭代 高斯-塞德尔迭代 拉格朗日插值 主元素高斯消去 高斯-约当消去 牛顿插值 不含列主元高斯约当法 二次多项式拟合 一次多项式拟合 二分法 牛顿迭代 三次样条插值 三对角的追赶法-Combined with java GUI programming calculation method of the related algorithms, comprising: Jac