#LnormInf corresponds to the absolute value of the greatest element of the vector.

gaussSeidelrun.py then you will need to type python gaussSeidelrun.py at. Print ('The solution vector in iteration', iter1, 'is:', x) Hint: If you save the code for the Example 2.17 as. def gauss_seidel(A, b, tolerance, max_iterations, x): Gauss-Seidel and Successive Over Relaxation to solve system of equations and Steepest-Descent to minimize a function of 2 or 3 variables. Instead I created my own little function that with the help of a permutation matrix as seen in another answer of mine permutation matrix will produce the solution (x vector) for any square matrix, including those with zeros on the diagonal. Python code: import numpy as np from scipy.linalg import solve def jacobi (A,b,x,n): D np.diag (A) R A-np.diagflat (D) for i in range(n): x (b-np.dot (R,x))/D return x A np.array ( 4,-2.0,1.0, 1.0,-3.0,2.0, -1.0,2.0,6.0) b 1.0,2.0,3. This contains three programs written in python. PROC MODEL: Numerical Solution Methods :: SAS/ETS(R) 9.2 marne footballer Gauss Seidel Method to solve Linear equations in Python Web21 jun. It is named after German mathematician Carl Friedrich Gauss and Swiss. I know this is old but, I haven't found any pre existing library in python for gauss - seidel. The Gauss-Seidel method is a popular iterative method for solving linear equations.

Gauss seidel method code python