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More UK Success Stories in Industrial Mathematics

  • Book
  • Jul 2024
  • Latest edition

Overview

Editors:
  1. Philip J. Aston

    1. Department of Mathematics, University of Surrey, Guildford, United Kingdom

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  • The contribution that mathematics makes to the solution of complex industrial and technological problems

  • The way that mathematics research is done

  • The wide range of problems that mathematics can be applied to

Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 42)

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Keywords

About this book

This volume highlights successful projects in which academic mathematicians in the United Kingdom got involved with solving problems in industry for which mathematics was essential. It contains a wide range of articles in areas ranging from music composition to climate change which describe successful collaborations between mathematicians / statisticians and industry. The impact that the work had on the companies involved and on people’s everyday lives is included in each article. The book conveys to the non-expert some of the many ways that mathematics and statistics have contributed to economic growth and societal well-being.




Editors and Affiliations

  • Department of Mathematics, University of Surrey, Guildford, United Kingdom

    Philip J. Aston

About the editor

Philip Aston is a Professor of Mathematics at the University of Surrey. His areas of interest have changed over the years from dynamical systems with symmetry, through mathematical biology and on to mathematical data science and machine learning. He co-developed the Symmetric Projection Attractor Reconstruction (SPAR) method that converts an approximately periodic signal into a compact image and has many applications to the analysis of physiological signals such as the electrocardiogram (ECG) and photoplethysmography (PPG) signals.

Bibliographic Information

  • Book Title: More UK Success Stories in Industrial Mathematics

  • Editors: Philip J. Aston

  • Series Title: Mathematics in Industry

  • 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 2024

  • Hardcover ISBN: 978-3-031-48682-1Due: 11 August 2024

  • Softcover ISBN: 978-3-031-48685-2Due: 11 August 2025

  • eBook ISBN: 978-3-031-48683-8Due: 11 August 2024

  • Series ISSN: 1612-3956

  • Series E-ISSN: 2198-3283

  • Edition Number: 1

  • Topics: Mathematical Modeling and Industrial Mathematics

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