Kirjojen hintavertailu – 12 903 725 kirjaa ja 27 kauppaa

Kirjailija

Matania Ben-artzi

Kirjat ja teokset yhdessä paikassa: 3 kirjaa, julkaisuja vuosilta 2003–2013, suosituimpiin kuuluu Navier-stokes Equations In Planar Domains. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

3 kirjaa

Kirjojen julkaisuvuodet: 2003–2013.

Navier-stokes Equations In Planar Domains

Navier-stokes Equations In Planar Domains

Matania Ben-artzi; Jean Pierre Croisille; Dalia Fishelov

Imperial College Press
2013
sidottu
This volume deals with the classical Navier-Stokes system of equations governing the planar flow of incompressible, viscid fluid. It is a first-of-its-kind book, devoted to all aspects of the study of such flows, ranging from theoretical to numerical, including detailed accounts of classical test problems such as “driven cavity” and “double-driven cavity”. A comprehensive treatment of the mathematical theory developed in the last 15 years is elaborated, heretofore never presented in other books. It gives a detailed account of the modern compact schemes based on a “pure streamfunction” approach. In particular, a complete proof of convergence is given for the full nonlinear problem. This volume aims to present a variety of numerical test problems. It is therefore well positioned as a reference for both theoretical and applied mathematicians, as well as a text that can be used by graduate students pursuing studies in (pure or applied) mathematics, fluid dynamics and mathematical physics.
Generalized Riemann Problems in Computational Fluid Dynamics

Generalized Riemann Problems in Computational Fluid Dynamics

Matania Ben-Artzi; Joseph Falcovitz

Cambridge University Press
2011
pokkari
Numerical simulation of compressible, inviscid time-dependent flow is a major branch of computational fluid dynamics. Its primary goal is to obtain accurate representation of the time evolution of complex flow patterns, involving interactions of shocks, interfaces, and rarefaction waves. The Generalized Riemann Problem (GRP) algorithm, developed by the authors for this purpose, provides a unifying 'shell' which comprises some of the most commonly used numerical schemes of this process. This monograph gives a systematic presentation of the GRP methodology, starting from the underlying mathematical principles, through basic scheme analysis and scheme extensions (such as reacting flow or two-dimensional flows involving moving or stationary boundaries). An array of instructive examples illustrates the range of applications, extending from (simple) scalar equations to computational fluid dynamics. Background material from mathematical analysis and fluid dynamics is provided, making the book accessible to both researchers and graduate students of applied mathematics, science and engineering.
Generalized Riemann Problems in Computational Fluid Dynamics

Generalized Riemann Problems in Computational Fluid Dynamics

Matania Ben-Artzi; Joseph Falcovitz

Cambridge University Press
2003
sidottu
Numerical simulation of compressible, inviscid time-dependent flow is a major branch of computational fluid dynamics. Its primary goal is to obtain accurate representation of the time evolution of complex flow patterns, involving interactions of shocks, interfaces, and rarefaction waves. The Generalized Riemann Problem (GRP) algorithm, developed by the authors for this purpose, provides a unifying 'shell' which comprises some of the most commonly used numerical schemes of this process. This monograph gives a systematic presentation of the GRP methodology, starting from the underlying mathematical principles, through basic scheme analysis and scheme extensions (such as reacting flow or two-dimensional flows involving moving or stationary boundaries). An array of instructive examples illustrates the range of applications, extending from (simple) scalar equations to computational fluid dynamics. Background material from mathematical analysis and fluid dynamics is provided, making the book accessible to both researchers and graduate students of applied mathematics, science and engineering.