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000891265 019__ $$a1105196193
000891265 020__ $$a3030170128$$q(electronic book)
000891265 020__ $$a9783030170127$$q(electronic book)
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000891265 0247_ $$a10.1007/978-3-030-17$$2doi
000891265 035__ $$aSP(OCoLC)on1103219429
000891265 035__ $$aSP(OCoLC)1103219429$$z(OCoLC)1105196193
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000891265 050_4 $$aTL574.T8$$bH55 2019
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000891265 08204 $$a629.1323$$223
000891265 08204 $$a532.0527$$223
000891265 24500 $$aHigh-performance computing of big data for turbulence and combustion /$$cSergio Pirozzoli, Tapan K. Sengupta, editors.
000891265 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019]
000891265 264_4 $$c©2019
000891265 300__ $$a1 online resource (257 pages) :$$billustrations.
000891265 336__ $$atext$$btxt$$2rdacontent
000891265 337__ $$acomputer$$bc$$2rdamedia
000891265 338__ $$aonline resource$$bcr$$2rdacarrier
000891265 4901_ $$aCISM International Centre for Mechanical Sciences. Courses and lectures ;$$vvolume 592
000891265 504__ $$aIncludes bibliographical references.
000891265 5050_ $$aFocusing Phenomenon in Numerical Solution of Two-Dimensional Navier-Stokes Equation -- Space-Time Resolution for Transitional and Turbulent Flows -- Finite Difference Methods for Incompressible and Compressible Turbulence -- Physical and Numerical Instabilities in Simulations of Re-acting and non-Reacting Flows -- Low-Rank Approximation of Multidimensional Data.
000891265 506__ $$aAccess limited to authorized users.
000891265 520__ $$aThis book provides state-of-art information on high-accuracy scientific computing and its future prospects, as applicable to the broad areas of fluid mechanics and combustion, and across all speed regimes. Beginning with the concepts of space-time discretization and dispersion relation in numerical computing, the foundations are laid for the efficient solution of the Navier-Stokes equations, with special reference to prominent approaches such as LES, DES and DNS. The basis of high-accuracy computing is rooted in the concept of stability, dispersion and phase errors, which require the comprehensive analysis of discrete computing by rigorously applying error dynamics. In this context, high-order finite-difference and finite-volume methods are presented. Naturally, the coverage also includes fundamental notions of high-performance computing and advanced concepts on parallel computing, including their implementation in prospective hexascale computers. Moreover, the book seeks to raise the bar beyond the pedagogical use of high-accuracy computing by addressing more complex physical scenarios, including turbulent combustion. Tools like proper orthogonal decomposition (POD), proper generalized decomposition (PGD), singular value decomposition (SVD), recursive POD, and high-order SVD in multi-parameter spaces are presented. Special attention is paid to bivariate and multivariate datasets in connection with various canonical flow and heat transfer cases. The book mainly addresses the needs of researchers and doctoral students in mechanical engineering, aerospace engineering, and all applied disciplines including applied mathematics, offering these readers a unique resource.
000891265 588__ $$aDescription based on online resource; title from digital title page (viewed on June 18, 2019).
000891265 650_0 $$aTurbulence.
000891265 650_0 $$aJets$$xFluid dynamics.
000891265 650_0 $$aCombustion.
000891265 650_0 $$aBig data.
000891265 7001_ $$aPirozzoli, Sergio,$$eeditor.
000891265 7001_ $$aSengupta, Tapan Kumar,$$d1955-$$eeditor.
000891265 77608 $$iPrint version:$$aPirozzoli, Sergio$$tHigh-Performance Computing of Big Data for Turbulence and Combustion$$dCham : Springer,c2019$$z9783030170110
000891265 830_0 $$aCourses and lectures ;$$vno. 592.
000891265 852__ $$bebk
000891265 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-17012-7$$zOnline Access$$91397441.1
000891265 909CO $$ooai:library.usi.edu:891265$$pGLOBAL_SET
000891265 980__ $$aEBOOK
000891265 980__ $$aBIB
000891265 982__ $$aEbook
000891265 983__ $$aOnline
000891265 994__ $$a92$$bISE