Richardson Iteration is an iterative method used to solve systems of linear equations, particularly in cases where direct methods are computationally expensive. It involves using an initial guess and refining it by applying a relaxation technique to gradually approach the solution. This method is part of a broader class of iterative methods, specifically within Krylov subspace techniques, which focus on efficiently solving large-scale linear systems by leveraging properties of the system matrix.
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