1 resultado para Masses.
em Massachusetts Institute of Technology
Filtro por publicador
- Repository Napier (2)
- Aberystwyth University Repository - Reino Unido (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (8)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Aquatic Commons (42)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (6)
- Archive of European Integration (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (24)
- Biblioteca Digital de la Universidad Católica Argentina (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (19)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (16)
- Brock University, Canada (10)
- CaltechTHESIS (20)
- Cambridge University Engineering Department Publications Database (13)
- CentAUR: Central Archive University of Reading - UK (88)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (79)
- Cochin University of Science & Technology (CUSAT), India (6)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Dalarna University College Electronic Archive (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (6)
- DigitalCommons - The University of Maine Research (1)
- Diposit Digital de la UB - Universidade de Barcelona (2)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (5)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (2)
- Greenwich Academic Literature Archive - UK (4)
- Helda - Digital Repository of University of Helsinki (40)
- Indian Institute of Science - Bangalore - Índia (83)
- Instituto Politécnico do Porto, Portugal (19)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (24)
- Publishing Network for Geoscientific & Environmental Data (98)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (121)
- Queensland University of Technology - ePrints Archive (36)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (8)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (33)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (9)
- Universidad del Rosario, Colombia (7)
- Universidade Complutense de Madrid (2)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universitat de Girona, Spain (32)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (1)
- Université de Montréal, Canada (45)
- University of Michigan (12)
- University of Queensland eSpace - Australia (2)
- University of Southampton, United Kingdom (1)
- University of Washington (2)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (12)
Resumo:
We develop an algorithm that computes the gravitational potentials and forces on N point-masses interacting in three-dimensional space. The algorithm, based on analytical techniques developed by Rokhlin and Greengard, runs in order N time. In contrast to other fast N-body methods such as tree codes, which only approximate the interaction potentials and forces, this method is exact ?? computes the potentials and forces to within any prespecified tolerance up to machine precision. We present an implementation of the algorithm for a sequential machine. We numerically verify the algorithm, and compare its speed with that of an O(N2) direct force computation. We also describe a parallel version of the algorithm that runs on the Connection Machine in order 0(logN) time. We compare experimental results with those of the sequential implementation and discuss how to minimize communication overhead on the parallel machine.