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FEAST for differential eigenvalue problems

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arxiv 1901.04533 v3 pith:G26NSWDZ submitted 2019-01-14 math.NA cs.NA

classification math.NAcs.NA
keywords differentialoperatoranaloguefeastself-adjointstructureaccuracyadept
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An operator analogue of the FEAST matrix eigensolver is developed to compute the discrete part of the spectrum of a differential operator in a region of interest in the complex plane. Unbounded search regions are handled with a novel rational filter for the right half-plane. If the differential operator is normal or self-adjoint, then the operator analogue preserves that structure and robustly computes eigenvalues to near machine precision accuracy. The algorithm is particularly adept at computing high-frequency modes of differential operators that possess self-adjoint structure with respect to weighted Hilbert spaces.

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  1. Computing Spectral Measures and Spectral Types

    math.SP 2019-08 conditional novelty 8.0 of 10

    First general algorithms compute spectral measures, point/continuous/singular decompositions, functional calculus, and Radon-Nikodym derivatives for self-adjoint or unitary operators with known column decay, with Solv...

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