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

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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;

/persons/resource/persons86493

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

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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.

引用: https://hdl.handle.net/11858/00-001M-0000-002A-1D18-F

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