1 resultado para stochastic particle system
em DI-fusion - The institutional repository of Université Libre de Bruxelles
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (2)
- Academic Archive On-line (Karlstad University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (18)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (19)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (26)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (15)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (19)
- Brock University, Canada (5)
- Bulgarian Digital Mathematics Library at IMI-BAS (8)
- CaltechTHESIS (10)
- Cambridge University Engineering Department Publications Database (13)
- CentAUR: Central Archive University of Reading - UK (29)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (24)
- Cochin University of Science & Technology (CUSAT), India (9)
- Collection Of Biostatistics Research Archive (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Dalarna University College Electronic Archive (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (8)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (2)
- DigitalCommons - The University of Maine Research (1)
- Diposit Digital de la UB - Universidade de Barcelona (3)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (7)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Indian Institute of Science - Bangalore - Índia (68)
- Institutional Repository of Leibniz University Hannover (1)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (13)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (1)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (77)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (22)
- Queensland University of Technology - ePrints Archive (376)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (52)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (19)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universita di Parma (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Montréal (1)
- Université de Montréal, Canada (2)
- University of Michigan (5)
- University of Queensland eSpace - Australia (11)
- University of Washington (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Relevância:
Resumo:
We consider the problem of inverting experimental data obtained in light scattering experiments described by linear theories. We discuss applications to particle sizing and we describe fast and easy-to-implement algorithms which permit the extraction, from noisy measurements, of reliable information about the particle size distribution. © 1987, SPIE.