SULJE VALIKKO

avaa valikko

Sergio Pirozzoli | Akateeminen Kirjakauppa

Haullasi löytyi yhteensä 2 tuotetta
Haluatko tarkentaa hakukriteerejä?



High-Performance Computing of Big Data for Turbulence and Combustion
Sergio Pirozzoli; Tapan K. Sengupta
Springer Nature Switzerland AG (2019)
Kovakantinen kirja
112,70
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
High-Performance Computing of Big Data for Turbulence and Combustion
Sergio Pirozzoli; Tapan K. Sengupta
Springer Nature Switzerland AG (2020)
Pehmeäkantinen kirja
112,70
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
High-Performance Computing of Big Data for Turbulence and Combustion
112,70 €
Springer Nature Switzerland AG
Sivumäärä: 250 sivua
Asu: Kovakantinen kirja
Painos: 1st ed. 2019
Julkaisuvuosi: 2019, 11.06.2019 (lisätietoa)
Kieli: Englanti
Tuotesarja: CISM International Centre for Mechanical Sciences 592
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 raisethe 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.

Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
LISÄÄ OSTOSKORIIN
Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 3-4 viikossa | Tilaa jouluksi viimeistään 27.11.2024
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
High-Performance Computing of Big Data for Turbulence and Combustionzoom
Sisäänkirjautuminen
Kirjaudu sisään
Rekisteröityminen
Oma tili
Omat tiedot
Omat tilaukset
Omat laskut
Lisätietoja
Asiakaspalvelu
Tietoa verkkokaupasta
Toimitusehdot
Tietosuojaseloste