搜索资源列表
1.c
- 用c语言实现n阶线性方程组Ax=b，列主元素消去法-Using c language implementation n linear equations Ax = b, set out the main elements of elimination
fpc_v2
- A MATLAB solver for minimizing ||x||1 + p||Ax-b||2-A MATLAB solver for minimizing ||x||1+ p||Ax-b||2
maseidelghhhhhhh
- 用途：用Gauss-Seidel迭代法解线性方程组Ax=b 格式：x=maseidel(A,b,x0,ep,N) A为系数矩阵，b为右端向量， -Uses: The Gauss-Seidel iteration method for solving linear equations Ax = b Format: x = maseidel (A, b, x0, ep, N) A as the coefficient matrix, b for the right-hand side vec
marunge4gh
- 1 用途：4阶经典龙格库塔格式解常微分方程y =f(x, y), y(x0)=y0 格式：[x, y]=marunge4(dyfun,xspan,y0,h) dyfun为函数f(x,y), xspan为求解区间[x0, xn], y0为初值, h为步长, x返回节点, y返回数值解 2 用途：用LU分解法解方程组Ax=b -1 Uses: 4-order classical Runge-Kutta solution of ordinary differential
machogfl
- 用途：用Cholesky分解法解方程组Ax=b 可利用该算法源码解求方程- Usage: The Cholesky decomposition solution of equations Ax = b can make use of the algorithm source solution of Equation
QR
- 用QR分解来解方程AX=b，其中QR分解是用householder变换做的-With QR decomposition to solve the equation AX = b, where QR decomposition is done using householder transformation
Doolittle
- Doolittle，用多利特尔直接分解法求解线性方程组Ax=b。-Doolittle, with multiple little direct decomposition method for solving linear equations Ax = b.
AXB
- matlab和C++混合编程，利用高斯算法计算Ax=B求解-Solve Ax=B Using combination matlab and c++
partic
- Particular solution of Ax=b.
gauss-jakobi
- SOLVING A LINEAR MATRIX SYSTEM AX=B with Gauss Jordan Method
and11
- 该程序可实现求解线性方程组的功能，采用共轭梯度法求解线性方程组Ax=b的解 线性方程组的系数矩阵-The program enables the function for solving linear equations using the conjugate gradient method for solving linear equations Ax = b the solution , the coefficient matrix of linear equations
AX=b
- 已知线性方程组，求解，得到一个结果向量。-Known linear equations, solving, we obtain a result vector.
GaussElimination
- 使用高斯消元法，解线性方程组。写作AX=B型的矩阵形式解决。-Using Gaussian elimination, solution of linear equations. Writing AX = B type of matrix solution.
Gauss_Elimination
- 使用高斯消元法，解线性方程组。写作AX=B型的矩阵形式解决。-Using Gaussian elimination, solution of linear equations. Writing AX = B type of matrix solution.
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
A_QR
- void qr(double *a, double *d, int n) 矩阵的QR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HouseHolder变换将其就地进行QR分解。 d为输出参数，d[0,n)存放QR分解的上三角矩阵对角线元素。 bool householder(double const *qr, double const *d, double *b, int n) 求线性代数方程组的解。 假设矩阵qrn*n为某个矩阵an*n的QR分解，在内
1
- 计算方法数值方程，用列主元Gauss消去法解释线性方程组Ax=b，其中A=[10E-8 2 3,-1 3.712 4.623,-2 1.072 5.643],b=[1,2,3]-Calculated value equation, the main-element Gauss elimination explanation of linear equations Ax = b, where A = [10E-8 2 3,-1 3.712 4.623,-2 1.072 5.643], b = [1
main_gmp
- Gauss algorithm for solve Ax=b with GMP
gauss
- Program for solution Ax=b by Gauss with CUDA
ALG074
- ITERATIVE REFINEMENT ALGORITHM To approximate the solution to the linear system Ax=b when A is