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High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computat...

High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2081065700

High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations

About this item

Full title

High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2016-05

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

We study Chebyshev filter diagonalization as a tool for the computation of many interior eigenvalues of very large sparse symmetric matrices. In this technique the subspace projection onto the target space of wanted eigenvectors is approximated with filter polynomials obtained from Chebyshev expansions of window functions. After the discussion of t...

Alternative Titles

Full title

High-performance implementation of Chebyshev filter diagonalization for interior eigenvalue computations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2081065700

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2081065700

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.1510.04895

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