Comparison and combination of reduced-order modelling techniques in 3D parametrized heat transfer problems

DOI10.1080/13873954.2011.547672zbMath1302.80014OpenAlexW1964507860MaRDI QIDQ5411555

Gianluigi Rozza, Fabrizio Gelsomino

Publication date: 24 April 2014

Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)

Full work available at URL: http://infoscience.epfl.ch/record/163349

zbMATH Keywords

proper orthogonal decompositionheat transfergreedy algorithmreduced basis methodreduced order modellinga posteriori error boundsparametrized partial differential equationsGraetz flow

Mathematics Subject Classification ID

Related Items (4)

Certified reduced basis approximation for parametrized partial differential equations and applications ⋮ Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs ⋮ Stabilized reduced basis method for parametrized advection-diffusion PDEs ⋮ Reduced Basis Approximation of Parametrized Advection-Diffusion PDEs with High Péclet Number

Uses Software

• rbMIT

Cites Work

• Unnamed Item
• Reduced basis approximation and a posteriori error estimation for the time-dependent viscous Burgers' equation
• Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations. Application to transport and continuum mechanics.
• A successive constraint linear optimization method for lower bounds of parametric coercivity and inf-sup stability constants
• Accelerated A Posteriori Error Estimation for the Reduced Basis Method with Application to 3D Electromagnetic Scattering Problems
• A posteriorierror bounds for reduced-basis approximations of parametrized parabolic partial differential equations
• Reduced basis method for finite volume approximations of parametrized linear evolution equations

This page was built for publication: Comparison and combination of reduced-order modelling techniques in 3D parametrized heat transfer problems