More UK Success Stories in Industrial Mathematics
Springer International Publishing (Verlag)
978-3-031-48682-1 (ISBN)
- Noch nicht erschienen - erscheint am 03.01.2025
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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.
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.
Climate Modelling.- Environment Modelling.- Engineering.- Health.- Healthcare.- Pharmaceuticals.- Animal Welfare.- Business and Finance.- Energy.- Food.- Miscellaneous.
| Erscheint lt. Verlag | 3.1.2025 |
|---|---|
| Reihe/Serie | Mathematics in Industry |
| Zusatzinfo | Approx. 300 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Schlagworte | business • climate modelling • computational science and engineering • Energy • Environment • Finance • Health • Industrial Mathematics • Mathematical Modelling • mathematics in engineering • Statistical Methods |
| ISBN-10 | 3-031-48682-X / 303148682X |
| ISBN-13 | 978-3-031-48682-1 / 9783031486821 |
| Zustand | Neuware |
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