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Produktbild: Uncertainty Quantification for Hyperbolic and Kinetic Equations
Band 14

Uncertainty Quantification for Hyperbolic and Kinetic Equations

Aus der Reihe SEMA SIMAI Springer Series

109,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.2018

Abbildungen

IX, 277 p. 76 illus., 68 illus. in color.

Herausgeber

Shi Jin + weitere

Verlag

Springer

Seitenzahl

277

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

441 g

Auflage

Softcover reprint of the original 1st ed. 2017

Sprache

Englisch

ISBN

978-3-030-09790-5

Beschreibung

Portrait



Shi Jin
is a Vilas Distinguished Achievement Professor of Mathematics at the University of Wisconsin-Madison. He earned his B.S. from Peking University and his Ph.D. from the University of Arizona. His research fields include computational fluid dynamics, kinetic equations, hyperbolic conservation laws, high frequency waves, quantum dynamics, and uncertainty quantification – fields in which he has published over 140 papers. He has been honored with the Feng Kang Prize in Scientific Computing and the Morningside Silver Medal of Mathematics at the Fourth International Congress of Chinese Mathematicians, and is a Fellow of both the American Mathematical Society and the Society for Industrial and Applied Mathematics (SIAM).

Lorenzo Pareschi
is a Full Professor of Numerical Analysis at the Department of Mathematics and Computer Science, University of Ferrara, Italy. He received his Ph.D. in Mathematics from the University of Bologna, Italy and subsequently held visiting professor appointments at the University of Wisconsin-Madison, the University of Orleans and University of Toulouse, France, and the Imperial College, London, UK. His research interests include multiscale modeling and numerical methods for phenomena described by time dependent nonlinear partial differential equations, in particular by means of hyperbolic balance laws and kinetic equations. He is the author/editor of nine books and more than 110 papers in peer-reviewed journals.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.12.2018

Abbildungen

IX, 277 p. 76 illus., 68 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

277

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

441 g

Auflage

Softcover reprint of the original 1st ed. 2017

Sprache

Englisch

ISBN

978-3-030-09790-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Uncertainty Quantification for Hyperbolic and Kinetic Equations
  • 1 The Stochastic Finite Volume Method.- 2 Uncertainty Modeling and Propagation in Linear Kinetic Equations.- 3 Numerical Methods for High-Dimensional Kinetic Equations.- 4 From Uncertainty Propagation in Transport Equations to Kinetic Polynomials.- 5 Uncertainty Quantification for Kinetic Models in Socio-Economic and Life Sciences.- 6 Uncertainty Quantification for Kinetic Equations.- 7 Monte-Carlo Finite-Volume Methods in Uncertainty Quantification for Hyperbolic Conservation Laws.