Low‐rank solution of an optimal control problem constrained by random Navier‐Stokes equations-Reference-Cited by-同舟云学术

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Low‐rank solution of an optimal control problem constrained by random Navier‐Stokes equations

Published:2020-05-13 Issue:11 Volume:92 Page:1653-1678
ISSN:0271-2091
Container-title:International Journal for Numerical Methods in Fluids
language:en
Short-container-title:Int J Numer Meth Fluids

Author:

Benner Peter¹,Dolgov Sergey²,Onwunta Akwum³⁴^ORCID,Stoll Martin⁵

Affiliation:

1. Computational Methods in Systems and Control Theory Max‐Planck‐Institut für Dynamik komplexer technischer Systeme Magdeburg Germany

2. Department of Mathematical Sciences University of Bath Bath UK

3. Department of Computer Science University of Maryland College Park Maryland USA

4. Max‐Planck‐Institut für Dynamik komplexer technischer Systeme Magdeburg

5. Faculty of Mathematics, Professorship Scientific Computing Technische Universität Chemnitz Chemnitz Germany

Publisher

Wiley

Subject

Applied Mathematics,Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fld.4843

Reference60 articles.

1. Discrete approach to stochastic parametrization and dimension reduction in nonlinear dynamics

2. Low-rank solvers for unsteady Stokes–Brinkman optimal control problem with random data

3. Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs

4. Preconditioning Steady-State Navier--Stokes Equations with Random Data

5. TRUNCATED HIERARCHICAL PRECONDITIONING FOR THE STOCHASTIC GALERKIN FEM

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