Relaxation methods, particularly in the context of numerical analysis and iterative methods, refer to a class of algorithms used for solving mathematical problems, particularly those involving systems of linear equations, nonlinear equations, or optimization problems. The primary goal of relaxation methods is to progressively improve an approximate solution to a problem until a desired level of accuracy is achieved.
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