grant
Estimating Eigenvalues and Matrix Functions with a Krylov Subspace
Organization Massachusetts Institute of TechnologyLocation CAMBRIDGE, United StatesPosted 1 Jul 2025Deadline 30 Jun 2028
NSFUS FederalResearch GrantScience FoundationMA
Description preview
Krylov subspace methods are among the most popular classes of algorithms in computational mathematics, particularly when dealing with high-dimensional problems — an increasingly important subject in all areas of engineering, science, and modern technology. Their advantages are simple: they tend to be very fast and relatively accurate. But despite…
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