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010   $a3-319-67110-3
024 7 $a10.1007/978-3-319-67110-9
035   $a(CKB)4100000002892032
035   $a(MiAaPQ)EBC5358059
035   $a(DE-He213)978-3-319-67110-9
035   $a(PPN)225550377
035   $a(EXLCZ)994100000002892032
100   $a20180320d2017      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aUncertainty Quantification for Hyperbolic and Kinetic Equations /$fedited by Shi Jin, Lorenzo Pareschi
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (282 pages) $cillustrations
225 1 $aSEMA SIMAI Springer Series,$x2199-3041 ;$v14
311   $a3-319-67109-X 
327   $a1 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.
330   $aThis book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment methods. The interest in these topics is rapidly growing, as their applications have now expanded to many areas in engineering, physics, biology and the social sciences. Accordingly, the book provides the scientific community with a topical overview of the latest research efforts.
410  0$aSEMA SIMAI Springer Series,$x2199-3041 ;$v14
606   $aPartial differential equations
606   $aComputer mathematics
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aPhysics
606   $aMathematics
606   $aSocial sciences
606   $aPartial Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12155
606   $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021
606   $aMathematics in the Humanities and Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M32000
615  0$aPartial differential equations.
615  0$aComputer mathematics.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aPhysics.
615  0$aMathematics.
615  0$aSocial sciences.
615 14$aPartial Differential Equations.
615 24$aComputational Mathematics and Numerical Analysis.
615 24$aMathematical and Computational Engineering.
615 24$aNumerical and Computational Physics, Simulation.
615 24$aMathematics in the Humanities and Social Sciences.
676   $a515.353
702   $aJin$b Shi$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aPareschi$b Lorenzo$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910279756503321
996   $aUncertainty Quantification for Hyperbolic and Kinetic Equations$91563113
997   $aUNINA