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High-Performance Computing of Big Data for Turbulence and Combustion (Hardcover, 1st ed. 2019)
Loot Price: R2,979
Discovery Miles 29 790
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High-Performance Computing of Big Data for Turbulence and Combustion (Hardcover, 1st ed. 2019)
Series: CISM International Centre for Mechanical Sciences, 592
Expected to ship within 10 - 15 working days
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This 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.
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