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The use of deep learning has become increasingly popular in reduced-order models (ROMs) to obtain low-dimensional representations of full-order models. Convolutional autoencoders (CAEs) are often used to this end as they are adept at handling data th
Externí odkaz:
http://arxiv.org/abs/2402.05372
Autor:
Halder, Rakesh
Motivated by the work of Bestvina-Feighn ([BF92]) and Mj-Sardar ([MS12]), we define trees of metric bundles subsuming both the trees of metric spaces and the metric bundles. Then we prove a combination theorem for these spaces. More precisely, we pro
Externí odkaz:
http://arxiv.org/abs/2206.14692
The use of reduced-order models (ROMs) in physics-based modeling and simulation almost always involves the use of linear reduced basis (RB) methods such as the proper orthogonal decomposition (POD). For some nonlinear problems, linear RB methods perf
Externí odkaz:
http://arxiv.org/abs/2204.08280
Akademický článek
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Autor:
Halder, Rakesh
Motivated by the work of Bestvina-Feighn ([BF92]) and Mj-Sardar ([MS12]), we define spaces of tree-graded spaces (resp. graphs of tree-graded graphs) subsuming both the trees of metric spaces and the metric bundles. Then we prove a combination theore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b91168785c291340fbd07844e2638237