Successive Over-Relaxation is an iterative method used to solve large linear systems of equations, improving upon the Gauss-Seidel method by accelerating convergence. It involves updating the solution iteratively while introducing a relaxation factor to help speed up the process, which is particularly beneficial for solving sparse matrices. This technique is especially valuable in computational scenarios where direct methods may be inefficient or infeasible due to the size of the system.
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