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Titlebook: Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment; Selected Works from Rubem P. Mondaini Book 2020 The Edito

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书目名称Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment
副标题Selected Works from
编辑Rubem P. Mondaini
视频video
概述Gathers together papers on dynamics of co-infections, tumor growth, cell interaction, and related topics.Brings a multidimensional approach to models via techniques like time-frequency analysis and EB
图书封面Titlebook: Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment; Selected Works from  Rubem P. Mondaini Book 2020 The Edito
描述This volume offers a collection of carefully selected, peer-reviewed papers presented at the BIOMAT 2019 International Symposium, which was held at the University of Szeged, Bolyai Institute and the Hungarian Academy of Sciences, Hungary, October 21st-25th, 2019. The topics covered in this volume include tumor and infection modeling; dynamics of co-infections; epidemic models on networks; aspects of blood circulation modeling; multidimensional modeling approach via time-frequency analysis and Edge Based Compartmental Model; and more. This book builds upon the tradition of the previous BIOMAT volumes to foster interdisciplinary research in mathematical biology for students, researchers, and professionals..Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promotingtruly international cooperation for problem discussion. The 2019 edition of BIOMAT International Symposium received contributions by authors from 14 countries: Brazil, Cameroon, Canada, Colombia, Czech Republic, Finland, Hungary,
出版日期Book 2020
关键词biomathematics; BIOMAT; time-frequency analysis; evolutionary adaptation; delay linear chains; Edge Based
版次1
doihttps://doi.org/10.1007/978-3-030-46306-9
isbn_ebook978-3-030-46306-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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