My Account Log in

1 option

Multidisciplinary Mathematical Modelling : Applications of Mathematics to the Real World / edited by Francesc Font, Tim G. Myers.

Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International Available online

View online
Format:
Book
Contributor:
Myers, Tim G., editor.
Font, Francesc, editor.
Series:
ICIAM 2019 SEMA SIMAI Springer Series, 2662-7191 ; 11
Language:
English
Subjects (All):
Mathematics.
Mathematical models.
Population genetics.
System theory.
Biomathematics.
Applications of Mathematics.
Mathematical Modeling and Industrial Mathematics.
Population Genetics.
Complex Systems.
Mathematical and Computational Biology.
Local Subjects:
Applications of Mathematics.
Mathematical Modeling and Industrial Mathematics.
Population Genetics.
Complex Systems.
Mathematical and Computational Biology.
Physical Description:
1 online resource (97 pages)
Edition:
1st ed. 2021.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
Summary:
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 various chapters describe a wide variety of topics: cancer modelling, carbon capture by adsorption, nanoscale diffusion and complex systems to predict earthquakes. These mathematical studies were specifically aided via collaborations with biomedical engineers, physicists and chemists. The book is addressed to researchers in all of these areas as well as in general mathematical modelling.
Contents:
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.
Notes:
Includes bibliographical references.
ISBN:
3-030-64272-0
OCLC:
1247366381

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account