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

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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;
International Max Planck Research School (IMPRS), 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;

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onwunta_ams_2255572.pdf
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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002A-1D18-F
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