Del 11 i serien SEMA SIMAI Springer Series

Multidisciplinary Mathematical Modelling

Applications of Mathematics to the Real World

Inbunden, Engelska, 2021

2 069 kr

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This book presents a selection of the talks resulting from research carried out by different groups at the Centre de Recerca Matemàtica and presented at the International Congress on Industrial and Applied Mathematics, held in Valencia in 2019. The book is addressed to researchers in all of these areas as well as in general mathematical modelling.

Produktinformation

Utgivningsdatum2021-04-14
Mått155 x 235 x 12 mm
Vikt325 g
FormatInbunden
SpråkEngelska
SerieSEMA SIMAI Springer Series
Antal sidor89
FörlagSpringer Nature Switzerland AG
ISBN9783030642716

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Francesc Font received his PhD in Applied Mathematics from the Universitat Politècnica de Catalunya in 2014 and he is currently a Juan de la Cierva research fellow at the Centre de Recerca Matemàtica. He specialises in the mathematical modelling of transport phenomena and has worked on topics such as nanoscale heat transfer, Li-ion batteries, or cell motility. Part of his research is in collaboration with industry and he has been involved in industrial mathematics workshops throughout Europe. Tim Myers is a Senior Researcher at the Centre de Recerca Matemàtica, Adjunct Professor at U. Politecnica de Catalunya and Adjunct Professor of Industrial Mathematics at U. Limerick. He has been involved in a wide variety of Industrial Mathematics initiatives and is currently the co-ordinator for all European Study Groups with Industry. He is a co-author of “Optics Near Surfaces and at the Nanometer Scale” and has written over 90 journal publications on a range of applied mathematics topics.

C. Penella et al., Spatiotemporal dynamics of cancer phenotypic quasispecies under targeted therapy.- M. Hennessy and T. Myers, Guyer–Krumhansl heat conduction in thermoreflectance experiments.- F. Font et al., A mathematical model of carbon capture by adsorption.- C. Fanelli, Diffusion processes at nanoscale.- V. Navas-Portella et al., Maximum likelihood estimation of power-law exponents for testing universality in complex systems.