東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Engineering- Mathematical models." ]

切換: 標籤 | MARC模式 | ISBD

Mathematical modeling = a dynamical ...

Palacios, Antonio.

FindBook

Google Book

Amazon

博客來

Mathematical modeling = a 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 modeling/ by 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.
內容註:	Introduction- Algebraic Models -- Discrete Models -- Continuous Models -- Bifurcation Theory -- Network-Based Modeling -- Delay Models -- Spatial-Temporal Models -- Stochastic Models -- Model Reduction and Simplification.
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

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. - 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

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

522882
Mathematical models.

LC Class. No.: TA342 / .P35 2022

Dewey Class. No.: 620.0015118

Mathematical modeling = a dynamical systems approach to analyze practical problems in STEM disciplines /
LDR:02201nmm a2200337 a 4500 001 2304262
003 DE-He213
005 20220919084044.0
006 m d
007 cr nn 008maaau
008 230409s2022 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 1002870
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 522882
650 0 $a Engineering $x Mathematical models. $3 532878
650 0 $a Engineering mathematics. $3 516847
650 1 4 $a Engineering Mathematics. $3 3301900
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Mathematical engineering. $3 2055144
856 4 0 $u https://doi.org/10.1007/978-3-031-04729-9
950 $a Mathematics and Statistics (SpringerNature-11649)