Uncertainty Quantification for Hyperbolic and Kinetic Equations (eBook, PDF)

Redaktion: Jin, Shi; Pareschi, Lorenzo

• Format: PDF

Produktbeschreibung

The first-ever book on kinetic equations

Presents several different approaches by top authors in the field

Offers an up-to-date survey of current applications, including examples in the social sciences

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 277
• Erscheinungstermin: 20. März 2018
• Englisch
• ISBN-13: 9783319671109
• Artikelnr.: 53064530

Autorenporträt

¿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.

Inhaltsangabe

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.