Librería: Buchpark, Trebbin, Alemania
EUR 24,19
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Seiten: 180 | Sprache: Englisch | Produktart: Bücher.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por Springer International Publishing, 2023
ISBN 10: 3031423321 ISBN 13: 9783031423321
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 48,14
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods - and at a lower computational cost.This work starts with a brief review of computability theory, aimed to convince the reader - more specifically, researchers of more traditional areas of mathematical modeling - about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed.The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing.The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches.
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 52,24
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Añadir al carritoPaperback or Softback. Condición: New. Deep Learning for Fluid Simulation and Animation: Fundamentals, Modeling, and Case Studies 0.57. Book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 49,84
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 55,96
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 59,03
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 60,53
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 69,11
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Añadir al carritoCondición: New. pp. 176.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 72,16
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Añadir al carritoPaperback. Condición: Brand New. 176 pages. 9.25x6.10x0.38 inches. In Stock.
Publicado por Springer International Publishing AG, Cham, 2023
ISBN 10: 3031423321 ISBN 13: 9783031423321
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 60,11
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Añadir al carritoPaperback. Condición: new. Paperback. This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods and at a lower computational cost.This work starts with a brief review of computability theory, aimed to convince the reader more specifically, researchers of more traditional areas of mathematical modeling about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed.The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing. The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Berlin Springer International Publishing Springer Nov 2023, 2023
ISBN 10: 3031423321 ISBN 13: 9783031423321
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 48,14
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods - and at a lower computational cost.This work starts with a brief review of computability theory, aimed to convince the reader - more specifically, researchers of more traditional areas of mathematical modeling - about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed.The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing.The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches. 164 pp. Englisch.
Publicado por Springer International Publishing, 2023
ISBN 10: 3031423321 ISBN 13: 9783031423321
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 44,31
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discloses the use of machine learning in fluid simulation as an option of lower computational costOffers a comparison between two neural network approaches and corresponding modelsIntended for students and researchers who need to keep pace .
Librería: Majestic Books, Hounslow, Reino Unido
EUR 70,10
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Añadir al carritoCondición: New. Print on Demand pp. 176.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 72,57
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 176.