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High-performance computing of big data for turbulence and combustion (Record no. 561012)

000 -LEADER
fixed length control field 02389 a2200217 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030170110
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.1323
Item number H537
245 ## - TITLE STATEMENT
Title High-performance computing of big data for turbulence and combustion
Statement of responsibility, etc edited by Sergio Pirozzoli and Tapan K. Sengupta
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Springer
Year of publication 2019
Place of publication Switzerland
300 ## - PHYSICAL DESCRIPTION
Number of Pages ix, 250p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title CISM International Centre for Mechanical Sciences: courses and lectures
490 ## - SERIES STATEMENT
Series statement / edited by Elisabeth Guazzelli; v.592
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Turbulence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Jets -- Fluid dynamics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pirozzoli, Sergio [ed.]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sengupta, Tapan K. [ed.]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2019-12-23 2 8187.29 629.1323 H537 A185023 10234.11 Books

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