Conservative Model Order Reduction for Fluid Flow
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Publication:5141288
DOI10.1007/978-3-030-48721-8_4zbMath1455.62226OpenAlexW2885643524MaRDI QIDQ5141288
Nicolò Ripamonti, Babak Maboudi Afkham, Qian Wang, Jan S. Hesthaven
Publication date: 18 December 2020
Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)
Full work available at URL: http://infoscience.epfl.ch/record/256392
energy conservationreduced basis methodhyperbolic equationsmodel order reductionskew-symmetric formulationcombustor model
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to physics (62P35) Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs (65M75)
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Entropy stable reduced order modeling of nonlinear conservation laws ⋮ Reduced basis methods for time-dependent problems ⋮ Fourier Collocation and Reduced Basis Methods for Fast Modeling of Compressible Flows ⋮ Physics-informed machine learning for reduced-order modeling of nonlinear problems ⋮ Model reduction for multi-scale transport problems using model-form preserving least-squares projections with variable transformation ⋮ Predictive reduced order modeling of chaotic multi-scale problems using adaptively sampled projections ⋮ Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations ⋮ Structure-preserving model order reduction of Hamiltonian systems
Uses Software
Cites Work
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