Implicit partitioning methods for unknown parameter sets. In the context of the reduced basis method

DOI10.1007/s10444-015-9404-5zbMath1333.05248OpenAlexW1184888930MaRDI QIDQ904245

Bernhard Wieland

Publication date: 13 January 2016

Published in: Advances in Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10444-015-9404-5

zbMATH Keywords

model reductionreduced basis methodempirical interpolation methodparametrized partial differential equationsadaptive partitioning

Mathematics Subject Classification ID

Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.) (05C70) PDEs with randomness, stochastic partial differential equations (35R60) Model reduction in optics and electromagnetic theory (78M34)

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Uses Software

• rbMIT

Cites Work

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• A training set and multiple bases generation approach for parameterized model reduction based on adaptive grids in parameter space
• Localized Discrete Empirical Interpolation Method

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