Overview
- Several technology transfer success stories of Mathematical Modelling, Simulation and Optimization are presented, either from the scientific as well as from the business points of view
- This two-sided vision may inspire industry to discover new paths to develop their business, as well as to help Researchers in applied and industrial mathematics to find new interesting applications to their research
- The success stories presented in the book may stimulate new successful collaborations between Academia and Industry in the framework of applied and Industrial mathematics
Part of the book series: SEMA SIMAI Springer Series (SEMA SIMAI, volume 5)
Part of the book sub series: ICIAM 2019 SEMA SIMAI Springer Series (ICIAM2019SSSS)
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Table of contents (13 papers)
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Front Matter
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The Industry Point of View
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Front Matter
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The Academia Point of View
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Front Matter
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Back Matter
Keywords
About this book
This book presents a panorama about the recent progress of industrial mathematics from the point of view of both industrials and researchers. The chapters correspond to a selection of the contributions presented in the "Industry Day" and in the Minisymposium "EU - MATHS - IN: Success Stories of Applications of Mathematics to Industry" organized in the framework of the International Conference ICIAM 2019 held in Valencia (Spain) on July 15-19, 2019. In the Industry Day, included for the first time in this series of Conferences, representatives of companies from different countries and several sectors presented their view about the benefits regarding the usage of mathematical tools and/or collaboration with mathematicians. The contributions of this special session were addressed to industry people. Minisymposium contributions detailed some collaborations between mathematicians and industrials that led to real benefits in several European companies. All the speakers were affiliated in some of the European National Networks that constitute the European Service Network of Mathematics for Industry and Innovation (EU-MATHS-IN).
Editors and Affiliations
About the editors
Peregrina Quintela is president of Spanish Network for Mathematics & Industry, director of the Technological Institute for Industrial Mathematics and member of the European Service Network of Mathematics for Industry and Innovation Executive Board. She holds two PhDs in Mathematical Sciences from Universidad Autónoma de Madrid and from Université Pierre et Marie Curie. She is Full Professor at Universidade de Santiago de Compostela, specialized in modelling and simulation of industrial challenges.
Carlos Parés is Professor of Applied Mathematics at the University of Málaga (Spain). He is a specialist in numerical methods for nonlinear hyperbolic systems of Partial Differential Equations. He promoted the creation and the development of the group of research EDANYA which is nowadays an international reference in the simulation of geophysical flows. He was among the promoters of the Spanish Network for Mathematics & Industry and he was member of its Managing Board from 2011 to 2019.
Bibliographic Information
Book Title: Progress in Industrial Mathematics: Success Stories
Book Subtitle: The Industry and the Academia Points of View
Editors: Manuel Cruz, Carlos Parés, Peregrina Quintela
Series Title: SEMA SIMAI Springer Series
DOI: https://doi.org/10.1007/978-3-030-61844-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-61843-8Published: 20 March 2021
Softcover ISBN: 978-3-030-61846-9Published: 20 March 2022
eBook ISBN: 978-3-030-61844-5Published: 19 March 2021
Series ISSN: 2199-3041
Series E-ISSN: 2199-305X
Edition Number: 1
Number of Pages: XVII, 249
Number of Illustrations: 19 b/w illustrations, 88 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Applications of Mathematics, Computational Mathematics and Numerical Analysis, Optimization, Operations Research, Management Science, Analysis