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#KVIV:BB --- 681.3 *G10 --- Computerwetenschap--?*G10 --- Engineering mathematics. --- Numerical analysis. --- Engineering mathematics --- Numerical analysis --- Mathematical analysis --- Engineering --- Engineering analysis --- Mathematics

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This volume contains a collection of expert views on the state of the art in Large Eddy Simulation (LES) and its application to complex flows. Much of the material in this volume was inspired by contributions that were originally presented at the symposium on Complex Effects in Large Eddy Simulation held in Lemesos (Limassol), Cyprus, between September 21st and 24th, 2005. The symposium was organized by the University of Cyprus together with the Center for Turbulence Research at Stanford University and NASA Ames Research Center. Many of the problems that must be tackled in order to advance technology and science increasingly require synergetic approaches across disciplines. Computational Science refers to interdisciplinary research aiming at the so- tion of complex scientific and engineering problems under the unifying theme of computation. The explosive growth of computer power over the last few decades, and the advancement of computational methods, have enabled the applicationofcomputationalapproachestoanever-increasingsetofproblems. One of the most challenging problems to treat computationally in the discipline of Computational Fluid Dynamics is that of turbulent ?uid ?ow.

Eddies --- Turbulence --- Tourbillons (Mécanique des fluides) --- Mathematical models --- Modèles mathématiques --- Eddies -- Mathematical models. --- Large eddy simulations. --- Turbulence -- Mathematical models. --- Civil & Environmental Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Civil Engineering --- Mathematics - General --- 681.3*G18 --- 519.63 --- Fluid dynamics --- Water currents --- Whirlpools --- Mathematical models. --- Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- Numerical methods for solution of partial differential equations --- 519.63 Numerical methods for solution of partial differential equations --- 681.3 *G18 Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- Tourbillons (Mécanique des fluides) --- Modèles mathématiques --- EPUB-LIV-FT LIVMATHE Large SPRINGER-B eddy simulations --- Engineering. --- Computer mathematics. --- Computational intelligence. --- Fluid mechanics. --- Engineering Fluid Dynamics. --- Computational Mathematics and Numerical Analysis. --- Computational Science and Engineering. --- Computational Intelligence. --- Hydromechanics --- Continuum mechanics --- Intelligence, Computational --- Artificial intelligence --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Construction --- Industrial arts --- Technology --- Soft computing --- Hydraulic engineering. --- Computer science --- Computer science. --- Mathematics. --- Informatics --- Science --- Engineering, Hydraulic --- Engineering --- Fluid mechanics --- Hydraulics --- Shore protection --- 681.3 *G18

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• Reference Manager
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This volume contains a collection of expert views on the state of the art in Large Eddy Simulation (LES) and its application to complex ?ows. Much of the material in this volume was inspired by contributions that were originally presented at the symposium on Complex E?ects in Large Eddy Simulation held in Lemesos (Limassol), Cyprus, between September 21st and 24th, 2005. The symposium was organized by the University of Cyprus together with the Center for Turbulence Research at Stanford University and NASA Ames Research Center. Many of the problems that must be tackled in order to advance techn- ogy and science increasingly require synergetic approaches across disciplines. Computational Science refers to interdisciplinary research aiming at the so- tion of complex scienti?c and engineering problems under the unifying theme of computation. The explosive growth of computer power over the last few decades, and the advancement of computational methods, have enabled the applicationofcomputationalapproachestoanever-increasingsetofproblems. One of the most challenging problems to treat computationally in the discipline of Computational Fluid Dynamics is that of turbulent ?uid ?ow.

Computer science --- Computer. Automation --- informatica --- wiskunde --- algoritmen --- informaticaonderzoek --- numerieke analyse