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  Low-Rank Iterative Solvers for Large-Scale Stochastic Galerkin Linear Systems

Onwunta, A. (2016). Low-Rank Iterative Solvers for Large-Scale Stochastic Galerkin Linear Systems. PhD Thesis, Otto-von-Guericke Universität, Magdeburg.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-1071-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-1AAF-E
Genre: Thesis

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Akwum_PhD_Thesis_Applied_Maths_final.pdf (Publisher version), 4MB
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 Creators:
Onwunta, Akwum1, 2, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              

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 Dates: 2016-07-06
 Publication Status: Accepted / In Press
 Pages: 158
 Publishing info: Magdeburg : Otto-von-Guericke Universität
 Table of Contents: -
 Rev. Method: -
 Identifiers: URN: nbn:de:gbv:ma9:1-8189
 Degree: PhD

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