Predicting goal error evolution from near-initial-information: a learning algorithm

DOI10.1016/j.jcp.2011.05.029zbMath1408.76085OpenAlexW2037979212MaRDI QIDQ655047

Jochem Marotzke, Florian Rauser, Peter Korn

Publication date: 28 December 2011

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2011.05.029

zbMATH Keywords

shallow water equationsautomatic differentiationdual-weight residual methodgoal oriented error estimationtime-dependent goalsunsteady test case

Mathematics Subject Classification ID

Related Items (3)

Ensemble-type numerical uncertainty information from single model integrations ⋮ Output-based adaptive aerodynamic simulations using convolutional neural networks ⋮ Duality based error estimation in the presence of discontinuities

Uses Software

• chammp

Cites Work

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• Adjoint Recovery of Superconvergent Functionals from PDE Approximations
• Numerics and Hydrodynamic Stability: Toward Error Control in Computational Fluid Dynamics

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