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Swarm Reinforcement Learning For Adaptive Mesh Refinement

Swarm Reinforcement Learning For Adaptive Mesh Refinement

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2795083990

Swarm Reinforcement Learning For Adaptive Mesh Refinement

About this item

Full title

Swarm Reinforcement Learning For Adaptive Mesh Refinement

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Adaptive Mesh Refinement (AMR) enhances the Finite Element Method, an important technique for simulating complex problems in engineering, by dynamically refining mesh regions, enabling a favorable trade-off between computational speed and simulation accuracy. Classical methods for AMR depend on heuristics or expensive error estimators, hindering th...

Alternative Titles

Full title

Swarm Reinforcement Learning For Adaptive Mesh Refinement

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2795083990

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2795083990

Other Identifiers

E-ISSN

2331-8422

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