TY  - BOOK
AU  - Jin,Shi
AU  - Pareschi,Lorenzo
ED  - SpringerLink (Online service)
TI  - Uncertainty Quantification for Hyperbolic and Kinetic Equations
T2  - SEMA SIMAI Springer Series,
SN  - 9783319671109
AV  - QA370-380 
U1  - 515.353 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Partial differential equations
KW  - Computer mathematics
KW  - Applied mathematics
KW  - Engineering mathematics
KW  - Physics
KW  - Mathematics
KW  - Social sciences
KW  - Partial Differential Equations
KW  - Computational Mathematics and Numerical Analysis
KW  - Mathematical and Computational Engineering
KW  - Numerical and Computational Physics, Simulation
KW  - Mathematics in the Humanities and Social Sciences
N1  - 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; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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 methods. The interest in these topics is rapidly growing, as their applications have now expanded to many areas in engineering, physics, biology and the social sciences. Accordingly, the book provides the scientific community with a topical overview of the latest research efforts
UR  - https://doi.org/10.1007/978-3-319-67110-9
ER  -