Deep Learning for Fluid Simulation and Animation : Fundamentals, Modeling, and Case Studies

Language: English

Published by Springer, 2023

3031423321 / 9783031423321

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.…

Seller Inventory # 9783031423321

Title
Deep Learning for Fluid Simulation and Animation : Fundamentals, Modeling, and Case Studies
Author
Antonio Lopes Apolinário Jr.
Publisher
Springer
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031423321
ISBN 13
9783031423321
Item weight
283 grams
Dimensions
235x155x11 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
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