2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives
Matteo Giacomini, Pedro Díez
Surrogate models provide compact relations between user-defined input parameters and output quantities of interest, enabling the efficient evaluation of complex parametric systems…
PGD-based local surrogate models via overlapping domain decomposition: a computational comparison
Marco Discacciati, Ben J. Evans, Matteo Giacomini
An efficient strategy to construct physics-based local surrogate models for parametric linear elliptic problems is presented. The method relies on proper generalized decomposition…
An overlapping domain decomposition method for parametric Stokes and Stokes-Darcy problems via proper generalized decomposition
Marco Discacciati, Ben J. Evans, Matteo Giacomini
A strategy to construct physics-based local surrogate models for parametric Stokes flows and coupled Stokes-Darcy systems is presented. The methodology relies on the proper general…
Local surrogate models with reduced dimensionality via overlapping domain decomposition and proper generalized decomposition
Marco Discacciati, Ben J. Evans, Matteo Giacomini
We propose an efficient algorithm that combines overlapping domain decomposition and proper generalized decomposition (PGD) to construct surrogate models of linear elliptic paramet…