Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
PDE Models for Multi-Agent Phenomena
~
Salvarani, Francesco.
PDE Models for Multi-Agent Phenomena
Record Type:
Language materials, printed : Monograph/item
Title/Author:
PDE Models for Multi-Agent Phenomena/ edited by Pierre Cardaliaguet, Alessio Porretta, Francesco Salvarani.
other author:
Cardaliaguet, Pierre.
Description:
XI, 218 p. 24 illus., 21 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Partial differential equations. -
Online resource:
https://doi.org/10.1007/978-3-030-01947-1
ISBN:
9783030019471
PDE Models for Multi-Agent Phenomena
PDE Models for Multi-Agent Phenomena
[electronic resource] /edited by Pierre Cardaliaguet, Alessio Porretta, Francesco Salvarani. - 1st ed. 2018. - XI, 218 p. 24 illus., 21 illus. in color.online resource. - Springer INdAM Series,282281-518X ;. - Springer INdAM Series,12.
1 Martino Bardi and Marco Cirant, Uniqueness of solutions in Mean Field Games with several populations and Neumann conditions -- 2 Simone Cacace and Fabio Camilli, Finite difference methods for Mean Field Games systems -- 3 Piermarco Cannarsa and Rossana Capuani, Existence and uniqueness for Mean Field Games with state constraints -- 4 Adriano Festa, Diogo A. Gomes and Roberto M. Velho, An adjoint-based approach for a class of nonlinear Fokker-Planck equations and related systems -- 5 P. Jameson Graber and Charafeddine Mouzouni, Variational mean field games for market competition -- 6 Maria Gualdani and Nicola Zamponi, A review for an isotropic Landau model -- 7 Mikaela Iacobelli, A gradient flow perspective on the quantization problem -- 8 Edgard A. Pimentel and Makson S. Santos, Asymptotic methods in regularity theory for nonlinear elliptic equations: a survey -- 9 Elisabetta Carlini and Francisco J. Silva, A fully-discrete scheme for systems of nonlinear Fokker-Planck-Kolmogorov equations.
This volume covers selected topics addressed and discussed during the workshop “PDE models for multi-agent phenomena,” which was held in Rome, Italy, from November 28th to December 2nd, 2016. The content mainly focuses on kinetic equations and mean field games, which provide a solid framework for the description of multi-agent phenomena. The book includes original contributions on the theoretical and numerical study of the MFG system: the uniqueness issue and finite difference methods for the MFG system, MFG with state constraints, and application of MFG to market competition. The book also presents new contributions on the analysis and numerical approximation of the Fokker-Planck-Kolmogorov equations, the isotropic Landau model, the dynamical approach to the quantization problem and the asymptotic methods for fully nonlinear elliptic equations. Chiefly intended for researchers interested in the mathematical modeling of collective phenomena, the book provides an essential overview of recent advances in the field and outlines future research directions.
ISBN: 9783030019471
Standard No.: 10.1007/978-3-030-01947-1doiSubjects--Topical Terms:
1102982
Partial differential equations.
LC Class. No.: QA370-380
Dewey Class. No.: 515.353
PDE Models for Multi-Agent Phenomena
LDR
:03485nam a22003975i 4500
001
989311
003
DE-He213
005
20200705234000.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783030019471
$9
978-3-030-01947-1
024
7
$a
10.1007/978-3-030-01947-1
$2
doi
035
$a
978-3-030-01947-1
050
4
$a
QA370-380
072
7
$a
PBKJ
$2
bicssc
072
7
$a
MAT007000
$2
bisacsh
072
7
$a
PBKJ
$2
thema
082
0 4
$a
515.353
$2
23
245
1 0
$a
PDE Models for Multi-Agent Phenomena
$h
[electronic resource] /
$c
edited by Pierre Cardaliaguet, Alessio Porretta, Francesco Salvarani.
250
$a
1st ed. 2018.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
XI, 218 p. 24 illus., 21 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
Springer INdAM Series,
$x
2281-518X ;
$v
28
505
0
$a
1 Martino Bardi and Marco Cirant, Uniqueness of solutions in Mean Field Games with several populations and Neumann conditions -- 2 Simone Cacace and Fabio Camilli, Finite difference methods for Mean Field Games systems -- 3 Piermarco Cannarsa and Rossana Capuani, Existence and uniqueness for Mean Field Games with state constraints -- 4 Adriano Festa, Diogo A. Gomes and Roberto M. Velho, An adjoint-based approach for a class of nonlinear Fokker-Planck equations and related systems -- 5 P. Jameson Graber and Charafeddine Mouzouni, Variational mean field games for market competition -- 6 Maria Gualdani and Nicola Zamponi, A review for an isotropic Landau model -- 7 Mikaela Iacobelli, A gradient flow perspective on the quantization problem -- 8 Edgard A. Pimentel and Makson S. Santos, Asymptotic methods in regularity theory for nonlinear elliptic equations: a survey -- 9 Elisabetta Carlini and Francisco J. Silva, A fully-discrete scheme for systems of nonlinear Fokker-Planck-Kolmogorov equations.
520
$a
This volume covers selected topics addressed and discussed during the workshop “PDE models for multi-agent phenomena,” which was held in Rome, Italy, from November 28th to December 2nd, 2016. The content mainly focuses on kinetic equations and mean field games, which provide a solid framework for the description of multi-agent phenomena. The book includes original contributions on the theoretical and numerical study of the MFG system: the uniqueness issue and finite difference methods for the MFG system, MFG with state constraints, and application of MFG to market competition. The book also presents new contributions on the analysis and numerical approximation of the Fokker-Planck-Kolmogorov equations, the isotropic Landau model, the dynamical approach to the quantization problem and the asymptotic methods for fully nonlinear elliptic equations. Chiefly intended for researchers interested in the mathematical modeling of collective phenomena, the book provides an essential overview of recent advances in the field and outlines future research directions.
650
0
$a
Partial differential equations.
$3
1102982
650
0
$a
Social sciences—Data processing.
$3
1280453
650
0
$a
Social sciences—Computer programs.
$3
1280454
650
0
$a
Mathematical models.
$3
527886
650
1 4
$a
Partial Differential Equations.
$3
671119
650
2 4
$a
Computational Social Sciences.
$3
1141127
650
2 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
669172
700
1
$a
Cardaliaguet, Pierre.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
883325
700
1
$a
Porretta, Alessio.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1211839
700
1
$a
Salvarani, Francesco.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1211840
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030019464
776
0 8
$i
Printed edition:
$z
9783030019488
830
0
$a
Springer INdAM Series,
$x
2281-518X ;
$v
12
$3
1257908
856
4 0
$u
https://doi.org/10.1007/978-3-030-01947-1
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