Comparison of the reduced-basis and POD a posteriori error estimators for an elliptic linear-quadratic optimal control problem
By Timo Tonn, Karsten Urban, Stefan Volkwein. 2011
54 citations recorded by the source corpus.
Subfields: Computational Mechanics, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8fbd22977ad30d60a1878e85e56ada8aee606977
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Gianluigi Rozza
- Andrea Manzoni
- Alfio Maria Quarteroni
- Martin Gubisch
- Stefan Volkwein
- Anthony T. Patera
- Jan S. Hesthaven
- Paolo Pacciarini
In Statistical and Nonlinear Physics
- Gianluigi Rozza
- Andrea Manzoni
- Alfio Maria Quarteroni
- Martin Gubisch
- Stefan Volkwein
- Anthony T. Patera
- Paolo Pacciarini
- Karen E. Willcox
In Statistics and Probability
- Gianluigi Rozza
- Andrea Manzoni
- Martin Gubisch
- Alfio Maria Quarteroni
- Stefan Volkwein
- Karen E. Willcox
- René Pinnau
- Anthony T. Patera
Citations in the corpus
- Proper Orthogonal Decomposition for Linear-Quadratic Optimal Control (2013, methodology): “Proper orthogonal decomposition, model-order reduction, apriori and a-posteriori error analysis, linear-quadratic optimal control, primal-dual active set strategy.”
- Certified reduced basis approximation for parametrized partial differential equations and applications (2011, background): “(iii) Optimal control [69, 70, 71, 72], shape optimization, inverse and design problems [73, 74] as many-query applications have been and are subject to extensive research, which is of interest also in an industrial context.”