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＜電子ブック＞
Multiscale Models in Mechano and Tumor Biology : Modeling, Homogenization, and Applications / edited by Alf Gerisch, Raimondo Penta, Jens Lang
(Lecture Notes in Computational Science and Engineering. ISSN:21977100 ; 122)

版	1st ed. 2017.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2017
本文言語	英語
大きさ	XIV, 195 p : online resource
著者標目	Gerisch, Alf editor Penta, Raimondo editor Lang, Jens editor SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Biomathematics LCSH:Differential equations LCSH:Approximation theory FREE:Computational Mathematics and Numerical Analysis FREE:Mathematical and Computational Biology FREE:Differential Equations FREE:Approximations and Expansions
一般注記	1 An Introduction to Asymptotic Homogenization -- 2 Asymptotic Homogenization with a Macroscale Variation in the Microscale -- 3 Mathematical Models for Acid-Mediated Tumor Invasion:From Deterministic to Stochastic Approaches -- 4 Numerical Simulation of a Contractivity Based Multiscale Cancer Invasion Model -- 5 Modelling Tissue Self-Organization: From Micro to Macro Models -- 6 A Multiscale Modeling Approach to Transport of Nano-Constructs in Biological Tissues -- 7 A Continuum Model of Skeletal Muscle Tissue with Loss of Activation -- 8 Optimal Control of Slender Microswimmers This book presents and discusses the state of the art and future perspectives in mathematical modeling and homogenization techniques with the focus on addressing key physiological issues in the context of multiphase healthy and malignant biological materials. The highly interdisciplinary content brings together contributions from scientists with complementary areas of expertise, such as pure and applied mathematicians, engineers, and biophysicists. The book also features the lecture notes from a half-day introductory course on asymptotic homogenization. These notes are suitable for undergraduate mathematics or physics students, while the other chapters are aimed at graduate students and researchers HTTP:URL=https://doi.org/10.1007/978-3-319-73371-5

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