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Mathematical modelinga dynamical systems approach to analyze practical problems in STEM disciplines /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical modelingby Antonio Palacios.
其他題名:	a dynamical systems approach to analyze practical problems in STEM disciplines /
作者:	Palacios, Antonio.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvii, 564 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical models.
電子資源:	https://doi.org/10.1007/978-3-031-04729-9
ISBN:	9783031047299$q(electronic bk.)

Mathematical modelinga dynamical systems approach to analyze practical problems in STEM disciplines /
Palacios, Antonio.

Mathematical modelinga dynamical systems approach to analyze practical problems in STEM disciplines /[electronic resource] :by Antonio Palacios. - Cham :Springer International Publishing :2022. - xvii, 564 p. :ill. (some col.), digital ;24 cm. - Mathematical engineering,2192-4740. - Mathematical engineering..

Introduction- Algebraic Models -- Discrete Models -- Continuous Models -- Bifurcation Theory -- Network-Based Modeling -- Delay Models -- Spatial-Temporal Models -- Stochastic Models -- Model Reduction and Simplification.

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.

ISBN: 9783031047299$q(electronic bk.)

Standard No.: 10.1007/978-3-031-04729-9doiSubjects--Topical Terms:

182479
Mathematical models.

LC Class. No.: TA342 / .P35 2022

Dewey Class. No.: 620.0015118

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