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  • Produktbild: Computational Intelligence Applied to Inverse Problems in Radiative Transfer
  • Produktbild: Computational Intelligence Applied to Inverse Problems in Radiative Transfer
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Computational Intelligence Applied to Inverse Problems in Radiative Transfer

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.12.2023

Abbildungen

XXXVIII, 228 p. 44 illus., 2 illus. in color.

Herausgeber

Antônio José da Silva Neto + weitere

Verlag

Springer

Seitenzahl

228

Maße (L/B/H)

24,1/16/2,1 cm

Gewicht

571 g

Auflage

23001 Auflage 1st edition 2023

Übersetzt von

Ricardo Teixeira

Sprache

Englisch

ISBN

978-3-031-43543-0

Beschreibung

Portrait


Antônio José da Silva Neto
holds a bachelor’s degree in Mechanical and Nuclear Engineering from the Federal University of Rio de Janeiro (1983), a master’s degree in Nuclear Engineering from the same university (1989) and a PhD in Mechanical Engineering from North Carolina State University (1993). He worked for the Brazilian National Nuclear Energy Commission (1984-1986) and Promon Engenharia (1986-1997). In 1997 he joined the Polytechnic Institute of Rio de Janeiro State University, where he has been a professor since 2013. He is also the president (term 2014-2017) of the Brazilian Society for Applied and Computational Mathematics (SBMAC), and a former president (term 2009-2013) of the Brazilian Society of Mechanical Sciences and Engineering (ABCM). His research interests are in two main areas: mechanical engineering, with a focus on heat transfer, and applied and computational mathematics, with a focus on numerical methods and inverse problems.



José Carlos Becceneri
has a bachelor’s degree in Applied Mathematics from the University of São Paulo (1978) and a master’s degree and a PhD in Electronic Engineering and Computer Sciences, both from the Technological Institute of Aeronautics (1984). He completed his post-doctoral studies at the University of Sheffield, UK (2000-2001), and from 2011 to 2012 he was Dean of Research and Post-graduate Studies at the National Institute for Space Research (INPE), Brazil. He was also a professor at the post-graduate program in Applied Computing at the Computing and Applied Mathematics Associate Laboratory of the INPE, focusing on projects involving software development and computational intelligence.



Haroldo Fraga de Campos Velho
has a bachelor’s degree in Chemical Engineering from the Pontifical Catholic University of Rio Grande do Sul (1983), and a master’s degree (1988) and a PhD (1992) in Mechanical Engineering, with emphasis in Nuclear Reactor Physics and Computational Fluid Dynamics, respectively, both from the Federal University of Rio Grande do Sul. He worked for the Lindolfo Collor Institute for Economic Studies (1983-1985) and was a professor at the University of Caxias do Sul (1987-1988). He has been a researcher at the Computing and Applied Mathematics Laboratory of the National Institute for Space Research (INPE), Brazil, since 1988, and a full researcher since 2009. He was a visiting researcher at the Istituto di Cosmo-geofisica, Italy (1997), and did post-doctoral studies in Atmospheric Sciences at Colorado State University, USA. He is the president of the PanAmerican Association of Computational Interdisciplinary Sciences (term 2014-2016). His research focuses on inverse problems, data assimilation, numerical methods and artificial neural networks.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.12.2023

Abbildungen

XXXVIII, 228 p. 44 illus., 2 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

228

Maße (L/B/H)

24,1/16/2,1 cm

Gewicht

571 g

Auflage

23001 Auflage 1st edition 2023

Übersetzt von

Ricardo Teixeira

Sprache

Englisch

ISBN

978-3-031-43543-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Intelligence Applied to Inverse Problems in Radiative Transfer
  • Produktbild: Computational Intelligence Applied to Inverse Problems in Radiative Transfer
  • Foreword.- Preface.- Introduction.- Radiative Transfer.- Inverse Problems in Radiative Transfer: An Implicit Formulation.- Computational Intelligence in Optimization Problems.- Simulated Annealing.- Genetic Algorithms.- Artificial Neural Networks.- Ant Colony Optimization.- Artificial Bee Colony Algorithm.- Particle Swarm Optimization.- Generalized Extremal Optimization.- Particle Collision Algorithm.- Differential Evolution.- Luus-Jaakola Algorithm.- Firefly Algorithm.- Application Projects.- Final Considerations.- References.