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

MPS-Authors
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Benner,  Peter
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Onwunta,  Akwum
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Stoll,  Martin
Numerical Linear Algebra for Dynamical Systems, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
TU Chemnitz;

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1710.09470 .pdf
(プレプリント), 339KB

onwunta_item_2492800.pdf
(出版社版), 901KB

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引用

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.


引用: https://hdl.handle.net/21.11116/0000-0000-2E21-8
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