Reaction-diffusion systems: a mathematical biology approach

This book is addressed at curricula in applied mathematics, bio-physics, bio-mathematics, and theoretical biology and medicine. It is proposed as an advanced textbook for graduate interdisciplinary courses having as a common point the interest in modelling and simulation of tumoural systems. The aim...

Descripción completa

Detalles Bibliográficos
Autor: Herrero, Miguel A.
Tipo de recurso: capítulo de libro
Fecha de publicación:2003
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/60755
Acceso en línea:https://hdl.handle.net/20.500.14352/60755
Access Level:acceso abierto
Palabra clave:517.956.4
51-76
Biomatemáticas
Ecuaciones diferenciales
2404 Biomatemáticas
1202.07 Ecuaciones en Diferencias
id ES_ef2f9fad83caf0621f957dbbb5f2f741
oai_identifier_str oai:docta.ucm.es:20.500.14352/60755
network_acronym_str ES
network_name_str España
repository_id_str
spelling Reaction-diffusion systems: a mathematical biology approachHerrero, Miguel A.517.956.451-76BiomatemáticasEcuaciones diferenciales2404 Biomatemáticas1202.07 Ecuaciones en DiferenciasThis book is addressed at curricula in applied mathematics, bio-physics, bio-mathematics, and theoretical biology and medicine. It is proposed as an advanced textbook for graduate interdisciplinary courses having as a common point the interest in modelling and simulation of tumoural systems. The aim of this volume is to give both types of readers a common starting block, and complete knowledge of the mathematical and biological aspects of tumor growth. In the chapters contributed by an interdisciplinary team of leading researchers, this book addresses the entire modelling process, from phenomenological observations to simulation and validation, through the development of mathematical models and their qualitative and quantitative study. In the 13 chapters of the 38 authors there are 3 features. The first explores the mathematical models and computer simulation techniques used to gain insight into the growth and development of tumors. The second provides an overview of the processes involved in tumor development and growth. The third presents the state of the art in deterministic modelling approaches, such as mechanical and reaction-diffusion systems.Chapman & Hall/CRCPreziosi, LuigiUniversidad Complutense de Madrid20032003-01-0120032003-01-01book parthttp://purl.org/coar/resource_type/c_3248info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/20.500.14352/60755reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/607552026-06-02T12:44:21Z
dc.title.none.fl_str_mv Reaction-diffusion systems: a mathematical biology approach
title Reaction-diffusion systems: a mathematical biology approach
spellingShingle Reaction-diffusion systems: a mathematical biology approach
Herrero, Miguel A.
517.956.4
51-76
Biomatemáticas
Ecuaciones diferenciales
2404 Biomatemáticas
1202.07 Ecuaciones en Diferencias
title_short Reaction-diffusion systems: a mathematical biology approach
title_full Reaction-diffusion systems: a mathematical biology approach
title_fullStr Reaction-diffusion systems: a mathematical biology approach
title_full_unstemmed Reaction-diffusion systems: a mathematical biology approach
title_sort Reaction-diffusion systems: a mathematical biology approach
dc.creator.none.fl_str_mv Herrero, Miguel A.
author Herrero, Miguel A.
author_facet Herrero, Miguel A.
author_role author
dc.contributor.none.fl_str_mv Preziosi, Luigi
Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 517.956.4
51-76
Biomatemáticas
Ecuaciones diferenciales
2404 Biomatemáticas
1202.07 Ecuaciones en Diferencias
topic 517.956.4
51-76
Biomatemáticas
Ecuaciones diferenciales
2404 Biomatemáticas
1202.07 Ecuaciones en Diferencias
description This book is addressed at curricula in applied mathematics, bio-physics, bio-mathematics, and theoretical biology and medicine. It is proposed as an advanced textbook for graduate interdisciplinary courses having as a common point the interest in modelling and simulation of tumoural systems. The aim of this volume is to give both types of readers a common starting block, and complete knowledge of the mathematical and biological aspects of tumor growth. In the chapters contributed by an interdisciplinary team of leading researchers, this book addresses the entire modelling process, from phenomenological observations to simulation and validation, through the development of mathematical models and their qualitative and quantitative study. In the 13 chapters of the 38 authors there are 3 features. The first explores the mathematical models and computer simulation techniques used to gain insight into the growth and development of tumors. The second provides an overview of the processes involved in tumor development and growth. The third presents the state of the art in deterministic modelling approaches, such as mechanical and reaction-diffusion systems.
publishDate 2003
dc.date.none.fl_str_mv 2003
2003-01-01
2003
2003-01-01
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/60755
url https://hdl.handle.net/20.500.14352/60755
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Chapman & Hall/CRC
publisher.none.fl_str_mv Chapman & Hall/CRC
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869423839802294273
score 15.300724