Uncertainty Quantification for Hyperbolic and Kinetic Equations

This book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment metho...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Jin, Shi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pareschi, Lorenzo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Έκδοση:1st ed. 2017.
Σειρά:SEMA SIMAI Springer Series, 14
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.