A bilevel learning approach for optimal observation placement in variational data assimilation

DOI10.1088/1361-6420/ab4bfazbMath1473.35608arXiv1811.11505OpenAlexW2980143637MaRDI QIDQ5000561

No author found.

Publication date: 14 July 2021

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1811.11505

zbMATH Keywords

supervised learningvariational data assimilationbilevel optimizationsingular optimal control with measures

Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Optimality conditions for problems involving partial differential equations (49K20) Learning and adaptive systems in artificial intelligence (68T05) Newton-type methods (49M15) Methods of quasi-Newton type (90C53) Existence theories for optimal control problems involving partial differential equations (49J20) Numerical solution to inverse problems in abstract spaces (65J22) PDEs in connection with control and optimization (35Q93) PDE constrained optimization (numerical aspects) (49M41)

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Uses Software

• KELLEY

Cites Work

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