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

Benner, Peter; Dolgov, Sergey; Onwunta, Akwum; Stoll, Martin

doi:10.1016/j.cma.2016.02.004

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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: https://hdl.handle.net/11858/00-001M-0000-002A-1D18-F Version Permalink: https://hdl.handle.net/21.11116/0000-0000-731B-1

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Creators:
Benner, Peter¹, Author
Dolgov, Sergey², Author
Onwunta, Akwum^{1, 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: Date issued: 2016

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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: -