More UK Success Stories in Industrial Mathematics

Author:   Philip J. Aston
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   42
ISBN:  

9783031486821


Pages:   290
Publication Date:   23 April 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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More UK Success Stories in Industrial Mathematics


Overview

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.

Full Product Details

Author:   Philip J. Aston
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   42
ISBN:  

9783031486821


ISBN 10:   303148682
Pages:   290
Publication Date:   23 April 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Climate Modelling.- Environment Modelling.- Engineering.- Health.- Healthcare.- Pharmaceuticals.- Animal Welfare.- Business and Finance.- Energy.- Food.- Miscellaneous.

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Author Information

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.

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Latest Reading Guide

NOV RG 20252

 

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