國立高雄大學圖資館 |

Language: English

Back

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical modelingby Antonio Palacios.
Reminder of title:	a dynamical systems approach to analyze practical problems in STEM disciplines /
Author:	Palacios, Antonio.
Published:	Cham :Springer International Publishing :2022.
Description:	xvii, 564 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical models.
Online resource:	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

Mathematical modelinga dynamical systems approach to analyze practical problems in STEM disciplines /
LDR:02201nmm a2200337 a 4500 001 630677
003 DE-He213
005 20220919084044.0
006 m d
007 cr nn 008maaau
008 230329s2022 sz s 0 eng d
020 $a 9783031047299$q(electronic bk.)
020 $a 9783031047282$q(paper)
024 7 $a 10.1007/978-3-031-04729-9 $2 doi
035 $a 978-3-031-04729-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA342 $b .P35 2022
072 7 $a TBJ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a TBJ $2 thema
082 0 4 $a 620.0015118 $2 23
090 $a TA342 $b .P153 2022
100 1 $a Palacios, Antonio. $3 339856
245 1 0 $a Mathematical modeling $h [electronic resource] : $b a dynamical systems approach to analyze practical problems in STEM disciplines / $c by Antonio Palacios.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvii, 564 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Mathematical engineering, $x 2192-4740
505 0 $a Introduction- Algebraic Models -- Discrete Models -- Continuous Models -- Bifurcation Theory -- Network-Based Modeling -- Delay Models -- Spatial-Temporal Models -- Stochastic Models -- Model Reduction and Simplification.
520 $a 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.
650 0 $a Mathematical models. $3 182479
650 0 $a Engineering $x Mathematical models. $3 221320
650 0 $a Engineering mathematics. $3 182072
650 1 4 $a Engineering Mathematics. $3 806481
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Mathematical engineering. $3 675334
856 4 0 $u https://doi.org/10.1007/978-3-031-04729-9
950 $a Mathematics and Statistics (SpringerNature-11649)