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  A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems

Benner, P., Onwunta, A., & Stoll, M. (2019). A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems. Computational Methods in Applied Mathematics, 19(1), 5-22. doi:10.1515/cmam-2018-0030.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-2E21-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-2007-1
Genre: Journal Article

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 Creators:
Benner, Peter1, Author           
Onwunta, Akwum1, Author           
Stoll, Martin2, 3, Author           
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Numerical Linear Algebra for Dynamical Systems, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1832293              
3TU Chemnitz, ou_persistent22              

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Free keywords: Mathematics, Numerical Analysis, math.NA
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 Dates: 2019
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: arXiv: 1710.09470
URI: http://arxiv.org/abs/1710.09470
DOI: 10.1515/cmam-2018-0030
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Title: Computational Methods in Applied Mathematics
Source Genre: Journal
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Publ. Info: Berlin : De Gruyter
Pages: - Volume / Issue: 19 (1) Sequence Number: - Start / End Page: 5 - 22 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/1609-4840