This app uses the Successive over-Relaxation method to solve a linear system of $n$ equations in $n$ unknowns.

1
A square matrix $A$ formed from the coefficients of the linear system.
2
The vector of constants $b$ formed from the constants on the right of the equal sign (RHS).
3
A vector of initial guess $x_{0}$ that will be used to start the iterations.
4
The iterative scheme to use in approximating the solutions.
5
Relaxation parameter (only applicable when the SOR method has been selected).
6
The method to be used in the calculations.
7
Allowable tolerance level.
8
The maximum number of iterations to run.
9
The number of decimal points to display.

Enter your valid inputs then click to display results.

Our applications use latest technologies to bring computational power to the web, and are the result of 10+ years of lecturing, training, research, programming and development.

Enter your valid inputs then click to display Python syntax.

Our applications use latest technologies to bring computational power to the web, and are the result of 10+ years of lecturing, training, research, programming and development.