Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Hyperbolic and kinetic models for se...
~
Eftimie, Raluca.
Hyperbolic and kinetic models for self-organised biological aggregationsa modelling and pattern formation approach /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Hyperbolic and kinetic models for self-organised biological aggregationsby Raluca Eftimie.
Reminder of title:
a modelling and pattern formation approach /
Author:
Eftimie, Raluca.
Published:
Cham :Springer International Publishing :2018.
Description:
xiii, 280 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
BiologyMathematical models.
Online resource:
https://doi.org/10.1007/978-3-030-02586-1
ISBN:
9783030025861$q(electronic bk.)
Hyperbolic and kinetic models for self-organised biological aggregationsa modelling and pattern formation approach /
Eftimie, Raluca.
Hyperbolic and kinetic models for self-organised biological aggregations
a modelling and pattern formation approach /[electronic resource] :by Raluca Eftimie. - Cham :Springer International Publishing :2018. - xiii, 280 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mathematics,22320075-8434 ;. - Lecture notes in mathematics ;2035..
This book focuses on the spatio-temporal patterns generated by two classes of mathematical models (of hyperbolic and kinetic types) that have been increasingly used in the past several years to describe various biological and ecological communities. Here we combine an overview of various modelling approaches for collective behaviours displayed by individuals/cells/bacteria that interact locally and non-locally, with analytical and numerical mathematical techniques that can be used to investigate the spatio-temporal patterns produced by said individuals/cells/bacteria. Richly illustrated, the book offers a valuable guide for researchers new to the field, and is also suitable as a textbook for senior undergraduate or graduate students in mathematics or related disciplines.
ISBN: 9783030025861$q(electronic bk.)
Standard No.: 10.1007/978-3-030-02586-1doiSubjects--Topical Terms:
206136
Biology
--Mathematical models.
LC Class. No.: QH323.5 / .E385 2018
Dewey Class. No.: 570.15118
Hyperbolic and kinetic models for self-organised biological aggregationsa modelling and pattern formation approach /
LDR
:01931nmm a2200337 a 4500
001
546884
003
DE-He213
005
20190513141744.0
006
m d
007
cr nn 008maaau
008
190627s2018 gw s 0 eng d
020
$a
9783030025861$q(electronic bk.)
020
$a
9783030025854$q(paper)
024
7
$a
10.1007/978-3-030-02586-1
$2
doi
035
$a
978-3-030-02586-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QH323.5
$b
.E385 2018
072
7
$a
PDE
$2
bicssc
072
7
$a
MAT003000
$2
bisacsh
072
7
$a
PDE
$2
thema
082
0 4
$a
570.15118
$2
23
090
$a
QH323.5
$b
.E27 2018
100
1
$a
Eftimie, Raluca.
$3
825981
245
1 0
$a
Hyperbolic and kinetic models for self-organised biological aggregations
$h
[electronic resource] :
$b
a modelling and pattern formation approach /
$c
by Raluca Eftimie.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xiii, 280 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Lecture notes in mathematics,
$x
0075-8434 ;
$v
2232
490
1
$a
Mathematical biosciences subseries
520
$a
This book focuses on the spatio-temporal patterns generated by two classes of mathematical models (of hyperbolic and kinetic types) that have been increasingly used in the past several years to describe various biological and ecological communities. Here we combine an overview of various modelling approaches for collective behaviours displayed by individuals/cells/bacteria that interact locally and non-locally, with analytical and numerical mathematical techniques that can be used to investigate the spatio-temporal patterns produced by said individuals/cells/bacteria. Richly illustrated, the book offers a valuable guide for researchers new to the field, and is also suitable as a textbook for senior undergraduate or graduate students in mathematics or related disciplines.
650
0
$a
Biology
$x
Mathematical models.
$3
206136
650
1 4
$a
Mathematical and Computational Biology.
$3
514442
650
2 4
$a
Theoretical Ecology/Statistics.
$3
276089
650
2 4
$a
Partial Differential Equations.
$3
274075
650
2 4
$a
Numerical Analysis.
$3
275681
650
2 4
$a
Community & Population Ecology.
$3
276048
650
2 4
$a
Mathematics of Planet Earth.
$3
779959
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in mathematics ;
$v
2035.
$3
557764
830
0
$a
Mathematical biosciences subseries.
$3
825982
856
4 0
$u
https://doi.org/10.1007/978-3-030-02586-1
950
$a
Mathematics and Statistics (Springer-11649)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000163251
電子館藏
1圖書
電子書
EB QH323.5 .E27 2018 2018
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-02586-1
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login