1 resultado para random first-order transition
em Aquatic Commons
Filtro por publicador
- Aberdeen University (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (11)
- Archive of European Integration (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (7)
- Aston University Research Archive (19)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (15)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (23)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (8)
- Boston University Digital Common (2)
- Brock University, Canada (7)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (8)
- CaltechTHESIS (47)
- Cambridge University Engineering Department Publications Database (43)
- CentAUR: Central Archive University of Reading - UK (12)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (129)
- Cochin University of Science & Technology (CUSAT), India (2)
- Collection Of Biostatistics Research Archive (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- CUNY Academic Works (2)
- Department of Computer Science E-Repository - King's College London, Strand, London (6)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons at Florida International University (4)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Diposit Digital de la UB - Universidade de Barcelona (9)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (5)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Helda - Digital Repository of University of Helsinki (18)
- Indian Institute of Science - Bangalore - Índia (303)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (3)
- Massachusetts Institute of Technology (2)
- National Center for Biotechnology Information - NCBI (7)
- Nottingham eTheses (2)
- Publishing Network for Geoscientific & Environmental Data (4)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (27)
- Queensland University of Technology - ePrints Archive (74)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (60)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (9)
- Universidade Complutense de Madrid (8)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Montréal, Canada (9)
- Université Laval Mémoires et thèses électroniques (1)
- University of Michigan (5)
- University of Queensland eSpace - Australia (6)
- University of Washington (3)
- WestminsterResearch - UK (2)
Resumo:
The authors have endeavored to create a verified a-posteriori model of a planktonic ecosystem. Verification of an empirically derived set of first-order, quadratic differential equations proved elusive due to the sensitivity of the model system to changes in initial conditions. Efforts to verify a similarly derived set of linear differential equations were more encouraging, yielding reasonable behavior for half of the ten ecosystem compartments modeled. The well-behaved species models gave indications as to the rate-controlling processes in the ecosystem.