Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Lingua: Inglese
Editore: Cambridge University Press 6/18/2020, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Paperback or Softback. Condizione: New. Think Before You Compute: A Prelude to Computational Fluid Dynamics. Book.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Lingua: Inglese
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ISBN 10: 1108789994 ISBN 13: 9781108789998
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Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Lingua: Inglese
Editore: Cambridge University Press CUP, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 244.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Aggiungi al carrelloPaperback. Condizione: Brand New. 228 pages. 8.75x6.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Aggiungi al carrelloCondizione: New. This guide to computational fluid mechanics is for any beginning graduate student who is thinking of computing a flow. The text starts with a quick introduction to enable students to solve numerically a simple problem by a simple method, before detailing al.
Lingua: Inglese
Editore: Cambridge University Press Jun 2020, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Every fluid dynamicist will at some point need to use computation. Thinking about the physics, constraints and the requirements early on will be rewarded with benefits in time, effort, accuracy and expense. How these benefits can be realised is illustrated in this guide for would-be researchers and beginning graduate students to some of the standard methods and common pitfalls of computational fluid mechanics. Based on a lecture course that the author has developed over twenty years, the text is split into three parts. The quick introduction enables students to solve numerically a basic nonlinear problem by a simple method in just three hours. The follow-up part expands on all the key essentials, including discretisation (finite differences, finite elements and spectral methods), time-stepping and linear algebra. The final part is a selection of optional advanced topics, including hyperbolic equations, the representation of surfaces, the boundary integral method, the multigrid method, domain decomposition, the fast multipole method, particle methods and wavelets.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Every fluid dynamicist will at some point need to use computation. Thinking about the physics, constraints and the requirements early on will be rewarded with benefits in time, effort, accuracy and expense. How these benefits can be realised is illustrated in this guide for would-be researchers and beginning graduate students to some of the standard methods and common pitfalls of computational fluid mechanics. Based on a lecture course that the author has developed over twenty years, the text is split into three parts. The quick introduction enables students to solve numerically a basic nonlinear problem by a simple method in just three hours. The follow-up part expands on all the key essentials, including discretisation (finite differences, finite elements and spectral methods), time-stepping and linear algebra. The final part is a selection of optional advanced topics, including hyperbolic equations, the representation of surfaces, the boundary integral method, the multigrid method, domain decomposition, the fast multipole method, particle methods and wavelets. This guide to computational fluid mechanics is for any beginning graduate student who is thinking of computing a flow. The text starts with a quick introduction to enable students to solve numerically a simple problem by a simple method, before detailing all the key essentials and discussing optional advanced topics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 228 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 350.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 244.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 244.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108789994 ISBN 13: 9781108789998
Da: CitiRetail, Stevenage, Regno Unito
EUR 67,44
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Every fluid dynamicist will at some point need to use computation. Thinking about the physics, constraints and the requirements early on will be rewarded with benefits in time, effort, accuracy and expense. How these benefits can be realised is illustrated in this guide for would-be researchers and beginning graduate students to some of the standard methods and common pitfalls of computational fluid mechanics. Based on a lecture course that the author has developed over twenty years, the text is split into three parts. The quick introduction enables students to solve numerically a basic nonlinear problem by a simple method in just three hours. The follow-up part expands on all the key essentials, including discretisation (finite differences, finite elements and spectral methods), time-stepping and linear algebra. The final part is a selection of optional advanced topics, including hyperbolic equations, the representation of surfaces, the boundary integral method, the multigrid method, domain decomposition, the fast multipole method, particle methods and wavelets. This guide to computational fluid mechanics is for any beginning graduate student who is thinking of computing a flow. The text starts with a quick introduction to enable students to solve numerically a simple problem by a simple method, before detailing all the key essentials and discussing optional advanced topics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.