國立虎尾科技大學 |

Mathematical Modeling = A Dynamical Systems Approach to Analyze Practical Problems in STEM Disciplines /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mathematical Modeling/ by Antonio Palacios.
其他題名:	A Dynamical Systems Approach to Analyze Practical Problems in STEM Disciplines /
作者:	Palacios, Antonio.
面頁冊數:	XVII, 564 p. 238 illus., 144 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Engineering Mathematics. -
電子資源:	https://doi.org/10.1007/978-3-031-04729-9
ISBN:	9783031047299

Mathematical Modeling = A 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. - 1st ed. 2022. - XVII, 564 p. 238 illus., 144 illus. in color.online resource. - 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

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

1203947
Engineering Mathematics.

LC Class. No.: TA329-348

Dewey Class. No.: 620.00151

Mathematical Modeling = A Dynamical Systems Approach to Analyze Practical Problems in STEM Disciplines /
LDR:02573nam a22004095i 4500 001 1083295
003 DE-He213
005 20220919084044.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031047299 $9 978-3-031-04729-9
024 7 $a 10.1007/978-3-031-04729-9 $2 doi
035 $a 978-3-031-04729-9
050 4 $a TA329-348
072 7 $a TBJ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a TBJ $2 thema
082 0 4 $a 620.00151 $2 23
100 1 $a Palacios, Antonio. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 897462
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.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XVII, 564 p. 238 illus., 144 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 1 4 $a Engineering Mathematics. $3 1203947
650 0 $a Engineering mathematics. $3 562757
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031047282
776 0 8 $i Printed edition: $z 9783031047305
776 0 8 $i Printed edition: $z 9783031047312
830 0 $a Mathematical Engineering, $x 2192-4732 $3 1255094
856 4 0 $u https://doi.org/10.1007/978-3-031-04729-9
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)