A new estimate for a quantity involving the Chebyshev polynomials of the first kind
Xuefeng Xu, Chen-Song Zhang

TL;DR
This paper introduces a new, optimal estimate for a key quantity in the convergence analysis of smoothed aggregation algebraic multigrid methods, improving existing bounds.
Contribution
It provides a novel, optimal upper bound estimate for a critical quantity in multigrid convergence analysis, enhancing theoretical understanding.
Findings
New optimal upper bound established
Improves upon existing bounds
Enhances convergence analysis accuracy
Abstract
In this paper, we establish a new estimate (including lower and upper bounds) for an important quantity involved in the convergence analysis of smoothed aggregation algebraic multigrid methods. The new upper bound improves the existing ones. And our upper bound is optimal.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Matrix Theory and Algorithms · Advanced Numerical Methods in Computational Mathematics
