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Optimization and Computational Fluid Dynamics

The numerical optimization of practical applications is an issue of growing importance in research and industry. It allows both the exploration of non-trivial configurations differing widely from all known solutions and the step-by-step improvement of existing designs. The purpose of this book is to...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Thévenin, Dominique (Editor ), Janiga, Gábor (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Optimization and Computational Fluid Dynamics  |h [electronic resource] /  |c edited by Dominique Thévenin, Gábor Janiga. 
250 |a 1st ed. 2008. 
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300 |a XV, 294 p.  |b online resource. 
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505 0 |a Generalities and methods -- A Few Illustrative Examples of CFD-based Optimization -- Mathematical Aspects of CFD-based Optimization -- Adjoint Methods for Shape Optimization -- Specific Applications of CFD-based Optimization to Engineering Problems -- Efficient Deterministic Approaches for Aerodynamic Shape Optimization -- Numerical Optimization for Advanced Turbomachinery Design -- CFD-based Optimization for Automotive Aerodynamics -- Multi-objective Optimization for Problems Involving Convective Heat Transfer -- CFD-based Optimization for a Complete Industrial Process: Papermaking. 
520 |a The numerical optimization of practical applications is an issue of growing importance in research and industry. It allows both the exploration of non-trivial configurations differing widely from all known solutions and the step-by-step improvement of existing designs. The purpose of this book is to introduce the state of the art concerning this issue, referred to in the book as CFD-based Optimization (CFD-O). Many complementary applications are presented, so that interested researchers and engineers will get a clear view of the present possibilities for all problems where the numerical optimization process relies on evaluations obtained through Computational Fluid Dynamics. 
650 0 |a Fluid mechanics. 
650 0 |a Continuum mechanics. 
650 0 |a Mathematical physics. 
650 0 |a Computational intelligence. 
650 0 |a Numerical analysis. 
650 0 |a Mathematical optimization. 
650 1 4 |a Engineering Fluid Dynamics. 
650 2 4 |a Continuum Mechanics. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Numerical Analysis. 
650 2 4 |a Optimization. 
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700 1 |a Janiga, Gábor.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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