Format:
1 Online-Ressource (XVII, 564 Seiten)
ISBN:
9783031047299
Series Statement:
Mathematical engineering
Content:
This book provides qualitative and quantitative methods to analyze and better understand phenomena that change in space and time. An innovative approach is to incorporate ideas and methods from dynamical systems and equivariant bifurcation theory to model, analyze and predict the behavior of mathematical models. In addition, real-life data is incorporated in the derivation of certain models. For instance, the model for a fluxgate magnetometer includes experiments in support of the model. The book is intended for interdisciplinary scientists in STEM fields, who might be interested in learning the skills to derive a mathematical representation for explaining the evolution of a real system. Overall, the book could be adapted in undergraduate- and postgraduate-level courses, with students from various STEM fields, including: mathematics, physics, engineering and biology.
Note:
Introduction- Algebraic Models -- Discrete Models -- Continuous Models -- Bifurcation Theory -- Network-Based Modeling -- Delay Models -- Spatial-Temporal Models -- Stochastic Models -- Model Reduction and Simplification.
Additional Edition:
ISBN 9783031047282
Additional Edition:
ISBN 9783031047305
Additional Edition:
ISBN 9783031047312
Additional Edition:
Erscheint auch als Druck-Ausgabe Palacios, Antonio Mathematical modeling Cham : Springer, 2022 ISBN 9783031047282
Language:
English
DOI:
10.1007/978-3-031-04729-9
Author information:
Palacios, Antonio
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