The authors present an adaptive s-step CG variant that uses incremental Ritz value estimates to dynamically update basis parameters and set a formerly heuristic constant, improving reliability and reducing synchronization counts in experiments.
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An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating
The authors present an adaptive s-step CG variant that uses incremental Ritz value estimates to dynamically update basis parameters and set a formerly heuristic constant, improving reliability and reducing synchronization counts in experiments.