Overview
- Solves real-world industrial problems that lead to entirely new fields within mathematics
- Showcases innovative applications in Computational Sciences and Engineering, Data Analysis, and Finance
- Methodically organized, with each chapter indicating the industrial challenging addressed
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 38)
Part of the book sub series: The European Consortium for Mathematics in Industry (TECMI)
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Table of contents (11 chapters)
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Front Matter
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Computational Science and Engineering
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Front Matter
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Back Matter
Keywords
- applied mathematics
- industrial mathematics
- industrial problems
- application driven research
- computational science and engineering
- data analysis and finance
- topological data analysis
- TDA
- prediction models
- quantization methods
- complex data
- discrete mathematics
- numerical analysis
- machine learning
- persistent homology
- functional data analysis
- stochastic differential equations
About this book
The book is organized into two parts: Computational Sciences and Engineering, and Data Analysis and Finance. In every chapter, readers will find a brief description of why such work fits into this volume; an explanation on which industrial challenges have been instrumental for their inspiration; and which methods have been developed as a result. All these contribute to a greater unity of the text, benefiting not only practitioners and professionals seeking information on novel techniques but also graduate students in applied mathematics, engineering, and related fields.
Editors and Affiliations
About the editors
Michael Günther got his PhD in Computer Science from TU München, Germany (1995) and the habilitation in Mathematics from the Universität Karlsruhe, Germany (2002). In 2003, he became a Full Professor in Applied Mathematics at Bergische Universität Wuppertal. His research is on time-domain simulation of coupled dynamical systems, ranging from ODEs, SDEs, DAEs to P(D)AEs, with applications in computational engineering, physics and finance, covering the whole spectrum from modeling to analysis and computational mathematics. He is Editor-In-Chief of both the journal and ECMI-subseries on “Mathematics in Industry” with Springer.
Wil Schilders holds a PhD (1998) from the Trinity College Dublin, Ireland. He studied mathematics, physics and astronomy at the Radboud University in Nijmegen, Netherlands, from 1974 to 1978. He developed numerical methods for semiconductor device simulation and electronic circuit simulation, and worked also on many other challenges in the electronics industry. In 1999, he became a part-time professor at Eindhoven University of Technology. In 2010, he extended his position at TU Eindhoven. His research concentrates on combinations of physics-based and data-based methods for solving advanced problems from industry, bridging the gap with academic mathematics.
Bibliographic Information
Book Title: Novel Mathematics Inspired by Industrial Challenges
Editors: Michael Günther, Wil Schilders
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-030-96173-2
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 2022
Hardcover ISBN: 978-3-030-96172-5Published: 31 March 2022
Softcover ISBN: 978-3-030-96175-6Published: 01 April 2023
eBook ISBN: 978-3-030-96173-2Published: 30 March 2022
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XXI, 337
Number of Illustrations: 32 b/w illustrations, 63 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Statistics, general, Computational Science and Engineering