The preconditioned conjugate gradient method is an optimization technique used to solve systems of linear equations, especially those that are large and sparse. It enhances the efficiency of the standard conjugate gradient method by transforming the original system into a form that converges faster, making it particularly useful for ill-conditioned problems.
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