A neural network predicts sensitive pseudospectra regions from matrix features to accelerate computation on structured non-normal banded matrices while preserving accuracy in identifying those regions.
Golub and Charles F
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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math.NA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A column-exchange modification to greedy volume-maximization subset selection achieves the same bounds on the pseudoinverse representation error as existing methods but with faster runtime for n much larger than m, plus a new upper bound on the number of exchanges needed.
citing papers explorer
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Neural-Guided Domain Restriction to Accelerate Pseudospectra Computation for Structured Non-normal Banded Matrices
A neural network predicts sensitive pseudospectra regions from matrix features to accelerate computation on structured non-normal banded matrices while preserving accuracy in identifying those regions.
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Subset selection for matrices by column exchange
A column-exchange modification to greedy volume-maximization subset selection achieves the same bounds on the pseudoinverse representation error as existing methods but with faster runtime for n much larger than m, plus a new upper bound on the number of exchanges needed.