Mathematical Oncology 2013 - Couverture souple

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9781493948031: Mathematical Oncology 2013

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ISBN 10 : 1493948032 ISBN 13 : 9781493948031

Editeur : Birkh�user, 2016

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With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion–consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology.

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� propos de l?auteur

Alberto d'Onofrio is the Research Group-Leader TT in the Department of Experimental Oncology at European Institute of Oncology, Milan, Italy Alberto Gandolfi is the Research Director of the Mathematical Modeling in Biology and Medicine at the Institute of Systems Analysis and Computer Science "Antonio Ruberti", Milan, Italy.

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�diteur: Birkh�user
Date d'�dition: 2016
Langue: anglais
ISBN 10: 1493948032
ISBN 13: 9781493948031
Reliure: Broch�
Nombre de pages: 344
�diteur: D'Onofrio Alberto, Gandolfi Alberto
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9781493904570: Mathematical Oncology 2013

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ISBN 10 : 1493904574 ISBN 13 : 9781493904570
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Mathematical Oncology 2013 (eng)

d'Onofrio, Alberto

Edit� par Birkh�user, 2016

ISBN 10 : 1493948032 ISBN 13 : 9781493948031

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Mathematical Oncology 2013

Alberto Gandolfi

Edit� par Springer New York Sep 2016, 2016

ISBN 10 : 1493948032 ISBN 13 : 9781493948031

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion-consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology. It highlights the work of world-class research teams, and explores how different researchers approach the same problem in various ways.Tumors are complex entities that present numerous challenges to the mathematical modeler. First and foremost, they grow. Thus their spatial mean field description involves a free boundary problem. Second, their interiors should be modeled as nontrivial porous media using constitutive equations. Third, at the end of anti-cancer therapy, a small number of malignant cells remain, making the post-treatment dynamics inherently stochastic. Fourth, the growth parameters of macroscopic tumors are non-constant, as are the parameters of anti-tumor therapies. Changes in these parameters may induce phenomena that are mathematically equivalent to phase transitions. Fifth, tumor vascular growth is random and self-similar. Finally, the drugs used in chemotherapy diffuse and are taken up by the cells in nonlinear ways.Mathematical Oncology 2013 will appeal to graduate students and researchers in biomathematics, computational and theoretical biology, biophysics, and bioengineering. 344 pp. Englisch. N� de r�f. du vendeur 9781493948031

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Mathematical Oncology 2013

Gandolfi, Alberto

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights the most significant recent results in the field of mathematical oncologyContains interdisciplinary contributions by bio mathematicians, computational and theoretical biologists, biophysicists and biomedical researchersIncludes c. N� de r�f. du vendeur 458515485

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Mathematical Oncology 2013

Alberto D'Onofrio (u. a.)

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Mathematical Oncology 2013

Alberto D'Onofrio

Edit� par Birkh�user, Springer Sep 2016, 2016

ISBN 10 : 1493948032 ISBN 13 : 9781493948031

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion�consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology. It highlights the work of world-class research teams, and explores how different researchers approach the same problem in various ways.Tumors are complex entities that present numerous challenges to the mathematical modeler. First and foremost, they grow. Thus their spatial mean field description involves a free boundary problem. Second, their interiors should be modeled as nontrivial porous media using constitutive equations. Third, at the end of anti-cancer therapy, a small number of malignant cells remain, making the post-treatment dynamics inherently stochastic. Fourth, the growth parameters of macroscopic tumors are non-constant, as are the parameters of anti-tumor therapies. Changes in these parameters may induce phenomena that are mathematically equivalent to phase transitions. Fifth, tumor vascular growth is random and self-similar. Finally, the drugs used in chemotherapy diffuse and are taken up by the cells in nonlinear ways.Mathematical Oncology 2013 will appeal to graduate students and researchers in biomathematics, computational and theoretical biology, biophysics, and bioengineering.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 344 pp. Englisch. N� de r�f. du vendeur 9781493948031

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Mathematical Oncology 2013

Alberto D'Onofrio

Edit� par Birkh�user, Springer, 2016

ISBN 10 : 1493948032 ISBN 13 : 9781493948031

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion-consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology. It highlights the work of world-class research teams, and explores how different researchers approach the same problem in various ways.Tumors are complex entities that present numerous challenges to the mathematical modeler. First and foremost, they grow. Thus their spatial mean field description involves a free boundary problem. Second, their interiors should be modeled as nontrivial porous media using constitutive equations. Third, at the end of anti-cancer therapy, a small number of malignant cells remain, making the post-treatment dynamics inherently stochastic. Fourth, the growth parameters of macroscopic tumors are non-constant, as are the parameters of anti-tumor therapies. Changes in these parameters may induce phenomena that are mathematically equivalent to phase transitions. Fifth, tumor vascular growth is random and self-similar. Finally, the drugs used in chemotherapy diffuse and are taken up by the cells in nonlinear ways.Mathematical Oncology 2013 will appeal to graduate students and researchers in biomathematics, computational and theoretical biology, biophysics, and bioengineering. N� de r�f. du vendeur 9781493948031

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Mathematical Oncology 2013 (Modeling and Simulation in Science, Engineering and Technology)

d'Onofrio, Alberto (Editor) / Gandolfi, Alberto (Editor)

Edit� par Birkhaeuser, 2016

ISBN 10 : 1493948032 ISBN 13 : 9781493948031

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