Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Mathematical Modeling = A Dynamical Systems Approach to Analyze Practical Problems in STEM Disciplines /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Mathematical Modeling/ by Antonio Palacios.
Reminder of title:
A Dynamical Systems Approach to Analyze Practical Problems in STEM Disciplines /
Author:
Palacios, Antonio.
Description:
XVII, 564 p. 238 illus., 144 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Engineering mathematics. -
Online resource:
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 Modeling
A 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:
562757
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
0
$a
Engineering mathematics.
$3
562757
650
1 4
$a
Engineering Mathematics.
$3
1203947
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)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login