Particle-based and meshless methods with Aboria
<p>Aboria is a powerful and flexible C++ library for the implementation of particle-based numerical methods. The particles in such methods can represent actual particles (e.g. Molecular Dynamics) or abstract particles used to discretise a continuous function over a domain (e.g. Radial Basis F...
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Format: | Journal article |
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Elsevier
2017
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_version_ | 1797058558919966720 |
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author | Robinson, M Bruna, M |
author_facet | Robinson, M Bruna, M |
author_sort | Robinson, M |
collection | OXFORD |
description | <p>Aboria is a powerful and flexible C++ library for the implementation of particle-based numerical methods. The particles in such methods can represent actual particles (e.g. Molecular Dynamics) or abstract particles used to discretise a continuous function over a domain (e.g. Radial Basis Functions). Aboria provides a particle container, compatible with the Standard Template Library, spatial search data structures, and a Domain Specific Language to specify non-linear operators on the particle set. This paper gives an overview of Aboria’s design, an example of use, and a performance benchmark.</p> |
first_indexed | 2024-03-06T19:52:00Z |
format | Journal article |
id | oxford-uuid:24444133-9c4d-475e-8989-bcc2d9afbf19 |
institution | University of Oxford |
last_indexed | 2024-03-06T19:52:00Z |
publishDate | 2017 |
publisher | Elsevier |
record_format | dspace |
spelling | oxford-uuid:24444133-9c4d-475e-8989-bcc2d9afbf192022-03-26T11:49:07ZParticle-based and meshless methods with AboriaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:24444133-9c4d-475e-8989-bcc2d9afbf19Symplectic Elements at OxfordElsevier2017Robinson, MBruna, M <p>Aboria is a powerful and flexible C++ library for the implementation of particle-based numerical methods. The particles in such methods can represent actual particles (e.g. Molecular Dynamics) or abstract particles used to discretise a continuous function over a domain (e.g. Radial Basis Functions). Aboria provides a particle container, compatible with the Standard Template Library, spatial search data structures, and a Domain Specific Language to specify non-linear operators on the particle set. This paper gives an overview of Aboria’s design, an example of use, and a performance benchmark.</p> |
spellingShingle | Robinson, M Bruna, M Particle-based and meshless methods with Aboria |
title | Particle-based and meshless methods with Aboria |
title_full | Particle-based and meshless methods with Aboria |
title_fullStr | Particle-based and meshless methods with Aboria |
title_full_unstemmed | Particle-based and meshless methods with Aboria |
title_short | Particle-based and meshless methods with Aboria |
title_sort | particle based and meshless methods with aboria |
work_keys_str_mv | AT robinsonm particlebasedandmeshlessmethodswithaboria AT brunam particlebasedandmeshlessmethodswithaboria |