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＜電子ブック＞
German Success Stories in Industrial Mathematics / edited by Hans Georg Bock, Karl-Heinz Küfer, Peter Maass, Anja Milde, Volker Schulz
(Mathematics in Industry. ISSN:21983283 ; 35)

版	1st ed. 2021.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2021
本文言語	英語
大きさ	X, 167 p. 111 illus., 99 illus. in color : online resource
著者標目	Bock, Hans Georg editor Küfer, Karl-Heinz editor Maass, Peter editor Milde, Anja editor Schulz, Volker editor SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Computer software LCSH:Mathematical models LCSH:Mathematical optimization LCSH:Discrete mathematics FREE:Computational Science and Engineering FREE:Mathematical Software FREE:Mathematical Modeling and Industrial Mathematics FREE:Optimization FREE:Discrete Mathematics
一般注記	Preface -- Keynotes -- Energy -- Engineering -- Food and Beverages -- Life Sciences and Health -- Mobility -- Optimization This book should illustrate the impact of collaborations between mathematics and industry. It is both an initiative of and coordinated by the German Committee for Mathematical Modeling, Simulation and Optimization (KoMSO). This publication aims at comparing the state of the art at the intersection of mathematics and industry, as well as the demands for future development of science and technology in Germany and beyond. Each contribution addresses the importance of mathematics in innovation by means of introducing a successful cooperation with an industrial partner in order to display the wide range of industrial sectors where the use of mathematics is the crucial factor for success, but also show the variety of mathematical areas involved in these activities. The success stories introduced in this volume will be supplemented by appropriate illustrations. It is the goal of this publication to highlight cooperation between mathematics and industry as a two-way technology andknowledge transfer, providing industry with solutions and mathematics with new research topics and inspiring new methodologies HTTP:URL=https://doi.org/10.1007/978-3-030-81455-7

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