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Total Size:
5.7 MB
Info Hash:
8A1ADDABED9B425138D689FE91EF8198BCC388A1
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Added:
Sept. 16, 2025, 9:04 a.m.
Stats:
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(Last updated: Sept. 16, 2025, 9:09 a.m.)
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| Giraldi G. Deep Learning for Fluid Simulation and Animation. Fundamentals,..2023.pdf | 5.7 MB |
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| Uploaded by eichbaum | Size 365.6 MB | Health [ 32 /34 ] | Added 2024-02-19 |
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NOTE
SOURCE: Giraldi G. Deep Learning for Fluid Simulation and Animation. Fundamentals,..2023
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COVER
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MEDIAINFO
Textbook in PDF format 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
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