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  • Produktbild: Numerical Fluid Dynamics
  • Produktbild: Numerical Fluid Dynamics
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Numerical Fluid Dynamics Methods and Computations

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159,99 € UVP 181,89 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.05.2023

Abbildungen

X, 317 p. 114 illus., 89 illus. in color.

Herausgeber

Dia Zeidan + weitere

Verlag

Springer Singapore

Seitenzahl

317

Maße (L/B/H)

23,5/15,5/1,8 cm

Gewicht

499 g

Auflage

23001 Auflage 1st ed. 2022

Sprache

Englisch

ISBN

978-981-16-9667-1

Beschreibung

Portrait


Dia Zeidan
is Associate Professor of Applied and Computational Mathematics at the German Jordanian University, Amman, Jordan, and Elected Fellow of the European Society of Computational Methods in Sciences and Engineering. An active researcher in developing mathematical and numerical tools of multiphase fluid flow problems for several years, he is recognized for research contributions in applied and computational mathematics with multiphase flows including his creative approaches to teaching and research. His work has been highly interdisciplinary, involving international collaborations with applied and computational researchers. Among various institutional obligations, he has been visitor of several important international research groups bridging with national research infrastructure gaps in Jordan. He serves on several expert review panels, as Technical Editor and Reviewer for several peer-reviewed journals and as Member of several program committees of technical conferences around the world.  

Jochen Merker
is Professor of Analysis and Optimization at the Leipzig University of Applied Sciences (HTWK Leipzig), Germany, since 2015. He received his Ph.D. in Mathematics from the University of Hamburg, Germany, in 2005. Afterwards, he worked as Postdoc in Applied Analysis at the University of Rostock, Germany, received his Habilitation in 2012 and became Professor at the Applied University of Stralsund, in 2013, before he became Full Professor at HTWK Leipzig. His research focuses on partial differential equations (PDEs) and functional analysis, particularly functional analytic settings for linear and nonlinear stationary and evolution equations, especially degenerate and singular parabolic PDEs with non-local terms, and on (contact) Hamiltonian systems on manifolds. Regarding this topic, in 2018, he received an honorable mention in the international Ian Snook Prize 2017 for his contribution in the field.

Eric GoncalvesDa Silva
 is Professor and Head of the Department Fluid Mechanics and Aerodynamics, Aeronautical Engineering School ISAE-ENSMA, Poitiers, France. His research interests are related to the modelling and the simulation of flows for which the density is variable such as compressible flow, two-phase flow and cavitation. Recent work includes shock wave boundary layer interaction, shock–bubble interaction and investigation of three-dimensional effects on cavitation pocket. 

Lucy T. Zhang
is Professor at the Department of Mechanical, Aerospace and Nuclear

Engineering at Rensselaer Polytechnic Institute (RPI), U.S.A. She is a Fellow of

American Society of Mechanical Engineers (ASME). Her research interests focus

on building advanced and robust computational tools and software for accurate and

efficient multiphysics and multiscale simulations that can be used for engineering

applications in biomechanics, micro- and nano-mechanics, medicineand defense

projects involving impacts. Her pioneer work in developing the immersed finite

element method had been and is still being widely used in academic engineering and

scientific communities. Professor Zhang is now developing open-source tools and

technology, OpenIFEM, that can conveniently and efficiently couple any existing

solvers for multiphysics and multiscale simulations and analysis.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.05.2023

Abbildungen

X, 317 p. 114 illus., 89 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

317

Maße (L/B/H)

23,5/15,5/1,8 cm

Gewicht

499 g

Auflage

23001 Auflage 1st ed. 2022

Sprache

Englisch

ISBN

978-981-16-9667-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Numerical Fluid Dynamics
  • Produktbild: Numerical Fluid Dynamics
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