It will solve the solution "exactly", but will take a very very long time for large matrices.
Gauss Jordan method will require O(n^3) multiplication/divisions and O(n^3) additions and subtractions.
Gauss seidel in reality you may not know when you have reached a solution. So, you may have to define the difference between succesive iterations as a tolerance for error. But, most of the time GS is much prefured in cases of large matrices.
The Gauss-Seidel iterative method converges more quickly than the Jacobi method primarily because it utilizes the most recently updated values as soon as they are available in the current iteration. In contrast, the Jacobi method relies solely on values from the previous iteration for all calculations, which can slow convergence. This immediate use of updated information in Gauss-Seidel allows for a more refined approximation of the solution with each iteration, leading to faster convergence, especially for well-conditioned systems.
Solve the following systems of simultaneous linear equations using Gauss elimination method and Gauss-Seidel Method 2x1+3x2+7x3 = 12 -----(1) x1-4x2+5x3 = 2 -----(2) 4x1+5x2-12x3= -3 ----(3) Answer: I'm not here to answer your university/college assignment questions. Please refer to the related question below and use the algorithm, which you should have in your notes anyway, to do the work yourself.
Mika Seidel's birth name is Mika Nilson Seidel.
Stan Seidel's birth name is Seidel, Stanford Clarke.
Tom Seidel's birth name is Emil Thomas Seidel.
Stephen Seidel is 6'.
Johannes Seidel is 177 cm.
Leon Seidel is 140 cm.
Lindsay Seidel is 5' 3".
Mika Seidel is 130 cm.
Silvia Seidel is 165 cm.
Heinrich Seidel was born in 1842.
Heinrich Seidel died in 1906.
Robert Seidel died in 1982.