High-Performance Computing of Big Data for Turbulence and Combustion

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pirozzoli, Sergio (Editor, http://id.loc.gov/vocabulary/relators/edt), Sengupta, Tapan K. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: CISM International Centre for Mechanical Sciences, Courses and Lectures, 592
• Subjects: Fluid mechanics.; Big data.; Engineering-Data processing.; Engineering Fluid Dynamics.; Big Data.; Data Engineering.

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...

Table of Contents:

• Focusing 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.