Spectral optimization of admissible entries in fixed-support FSAI preconditioners, using projected Krylov gradients and a detached Rayleigh surrogate, improves performance over Frobenius-based selection on finite-element problems, especially indefinite saddle-point systems.
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math.NA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Cascading smoothers are sequences of single-step block-diagonal operators whose levels are chosen by Frobenius-norm minimization of successive error propagators and perform at or above classical smoothers on Poisson, interface, and Stokes problems.
citing papers explorer
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Factored Sparse Approximate Inverse Preconditioning via Spectral Optimization
Spectral optimization of admissible entries in fixed-support FSAI preconditioners, using projected Krylov gradients and a detached Rayleigh surrogate, improves performance over Frobenius-based selection on finite-element problems, especially indefinite saddle-point systems.
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Cascading Smoothers for Multigrid
Cascading smoothers are sequences of single-step block-diagonal operators whose levels are chosen by Frobenius-norm minimization of successive error propagators and perform at or above classical smoothers on Poisson, interface, and Stokes problems.