• Produktbild: High-Performance Computing of Big Data for Turbulence and Combustion
  • Produktbild: High-Performance Computing of Big Data for Turbulence and Combustion
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High-Performance Computing of Big Data for Turbulence and Combustion

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.08.2020

Herausgeber

Sergio Pirozzoli + weitere

Verlag

Springer

Seitenzahl

250

Maße (L/B/H)

23.5/15.5/1.5 cm

Gewicht

400 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-17014-1

Beschreibung

Portrait

Sergio Pirozzoli is professor of Fluid Dynamics at Sapienza University of Rome, Italy. His research interests focus on the numerical simulation of incompressible and compressible turbulent flows, having carried out the first DNS of shock/boundary layer interactions in 2004. His expertise includes the development of energy-conserving discretizations for the compressible Navier-Stokes equations. He has been involved as leader of research units in several research projects funded by the European Union focusing of the understanding of unsteady effects in turbulent and transitional SBLI.

 

Tapan K. Sengupta is head of the High Performance Computing Laboratory at IIT Kanpur, India. His research interests focus on developing high accuracy computing methods to aid in bridging the gap between theoretical and computational fluid dynamics and heat transfer. He has published over 100 papers in international refereed journals covering diversetopics such as transition and turbulence, unsteady aerodynamics, flow control, CFD and numerical methods, mixed convection and compressible flows. 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.08.2020

Herausgeber

Verlag

Springer

Seitenzahl

250

Maße (L/B/H)

23.5/15.5/1.5 cm

Gewicht

400 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-17014-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: High-Performance Computing of Big Data for Turbulence and Combustion
  • Produktbild: High-Performance Computing of Big Data for Turbulence and Combustion
  • 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.