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  Low-Rank Solvers for Unsteady Stokes-Brinkman Optimal Control Problem with Random Data

Benner, P., Dolgov, S., Onwunta, A., & Stoll, M. (2016). Low-Rank Solvers for Unsteady Stokes-Brinkman Optimal Control Problem with Random Data. Computer Methods in Applied Mechanics and Engineering, 304, 26-54. doi:10.1016/j.cma.2016.02.004.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-1D18-F Version Permalink: http://hdl.handle.net/21.11116/0000-0000-731B-1
Genre: Journal Article

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onwunta_ams_2255572.pdf (Postprint), 3MB
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 Creators:
Benner, Peter1, Author              
Dolgov, Sergey2, Author
Onwunta, Akwum1, 3, Author              
Stoll, Martin4, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2University of Bath, ou_persistent22              
3International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              
4Numerical Linear Algebra for Dynamical Systems, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1832293              

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 Dates: 2016
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.cma.2016.02.004
Other: pubdata_escidoc:2255572
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Title: Computer Methods in Applied Mechanics and Engineering
Source Genre: Journal
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Pages: - Volume / Issue: 304 Sequence Number: - Start / End Page: 26 - 54 Identifier: -