搜索资源列表
A_LU
- bool lu(double *a, int *pivot, int n)；矩阵的LU分解。 假设数组an*n在内存中按行优先次序存放，此函数使用高斯列选主元消去法，将其就地进行LU分解。pivot为输出函数.pivot[0,n)中存放主元的位置排列. 函数成功时返回false，否则返回true. bool guass(double const *lu, int const *p, double *b, int n) 求线性方程组的解。 假设矩阵lum*n为某个矩阵a
TEST1403
- 高斯 乔丹消元法求解线性方程组范例 选自fortran90完全自学手册-High Si Qiaodan elimination method for solving linear equations fully self-study manual sample taken from fortran90
Gauss-Jordan
- 高斯约当迭代法，是消元法的一种，很好用的原代码-Gauss-Jordan
gaosi
- 高斯列主元消去法 #include<stdio.h> #include<conio.h> #include<math.h> #define N 100 float a[N][N+1] void main( ) { int i,j,k,n float t,s=0, clrscr( ) printf("输入矩阵阶数:") scanf(" d",&
Gauss
- 本程序是应用数值分析对线性多元方程组的一种解法……高斯列主元消去法-This procedure is the application of numerical analysis of linear multivariate equations out of a solution ... ... the main element of Gaussian elimination
jisuanfangfa
- 计算方法程序：三次拉格朗日插值、牛顿插值、复化梯形积分、复化Simpson积分、高斯列主元消去法、LU分解法-Calculation procedure: three Lagrange interpolation, Newton interpolation, complex trapezoidal integration, complex integration of Simpson, principal component elimination method Gauss column, LU
gauss
- 高斯列主元消去法求解线性方程组的程序 数值分析-Gauss
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
inv_matric
- 自己编写的一个基于高斯约当消元算法的矩阵求逆运算，比较小巧实用，方便移植-I have written a Gauss Jordan Elimination on the matrix inversion algorithm, more compact and practical, easy to transplant
gs
- 计算方法实验-高斯列主元消去法源代码。c++编写的-Method- principal component Gaussian line
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
shuzhi
- 数值分析大作业 －－――（高斯列主元消去法求解线性方程组）-Numerical analysis of large operating----( out principal component Gaussian elimination method for solving linear equations)
Numerical-Analysis
- 数值分析： lagrange插值与三次样条插值 simpson复化积分和两点高斯复化积分 四阶龙格—库塔解微分方程 牛顿下山法求解方程的根 列主元消去法求解线性方程组的根 -Numerical Analysis: lagrange interpolation and cubic spline interpolation simpson recovery of complex points and two points of the Gaussian integral Ru
gaosi
- 用c++实现高斯列主元消去法，并可实际进行运算-C++ implementation using Gaussian elimination pivot column, and the actual conduct of operations
guassliezhuyuansu
- 用Matlab实现高斯列主元消去法解非齐次线性方程组-Matlab implementation by principal component Gaussian elimination method for solving the column non-homogeneous linear equations
guass
- 利用高斯列主元消去法求解线性方程组Ax=b的解，并进行验证-Gauss elimination method to solve out the main element 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.
Gauss
- 使用高斯列主元消去法编程可以减少计算的繁琐程度，大大降低运算复杂度-Gaussian elimination pivot column can be programmed to reduce the red tape of the calculation, greatly reduce the computational complexity
linequ
- 高斯列主元消去法的c++源码 用以计算线性方程的解-Gaussian elimination of the PCA column c++ source code used to calculate the linear equation
UnwellLineEquSet-matlab
- 病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：