Jacobi iterative method is an algorithm for determining the solutions of a diagonally dominant system of linear equations. Each diagonal element is solved for, and an approximate value is plugged in. The process is then iterated until it converges.
Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations.
Bhartendu (2020). Gauss-Seidel Method, Jacobi Method (https://www.mathworks.com/matlabcentral/fileexchange/63167-gauss-seidel-method-jacobi-method), MATLAB Central File Exchange. Retrieved .
If I use a random generated matrix for A and b e.g. A=randi(9,5) and b=randi(9,5,1) and as initial guess x=zeros(5,1) I get Inf or NaN for the values in the x matrix.
in jacobi method you need to change x(j) with xold(j) otherwise it's gauss seidel
Code is shared for Learning and practising purpose. Solution given is valid and correct.
It's incorrect. Gauss Siedel and Jacobi give same output
In your example, you compare the 2 differents methods with differents initial guess ? That's doesn't seem relevant ... And if I use the same initial guess, the 2 methods have exactly the same convergence ....
Modified Gauss-Seidel (G-S) Load Flow in IEEE 6 Bus System (Matlab)
does not work for me wrong solution
Solve the nonlinear ordinary differential equation for the temperature distribution:
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