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Reduced order and surrogate models for gravitational waves
Living Reviews in Relativity, 2022 AbstractWe present an introduction to some of the state of the art in reduced order and surrogate modeling in gravitational-wave (GW) science. Approaches that we cover include principal component analysis, proper orthogonal (singular value) decompositions, the reduced basis approach, the empirical interpolation method, reduced order quadratures, and ...
Aaron Villanueva, Manuel Tiglio
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Reduced order modeling in iTOUGH2
Computers & Geosciences, 2014The inverse modeling and uncertainty quantification capabilities of iTOUGH2 are augmented with reduced order models (ROMs) that act as efficient surrogates for computationally expensive high fidelity models (HFMs). The implementation of the ROM capabilities involves integration of three main computational components.
George Shu Heng Pau +4 more
openaire +2 more sources