Sprache: Englisch
Verlag: Springer Nature Switzerland AG, 2019
ISBN 10: 3030019462 ISBN 13: 9783030019464
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Couverture souple. Zustand: Tres bon. Springer Nature Switzerland AG collection , 2019. 1 volume format In-8 très bon.
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
xi, 218 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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EUR 103,31
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 218 pages. 9.25x6.25x0.50 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, 2019
ISBN 10: 3030019462 ISBN 13: 9783030019464
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.