Fluid Engine Development

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A01=Doyub Kim
advanced fluid simulation techniques
animation
Author_Doyub Kim
Category=A
Category=UB
Category=UGN
Category=UMK
Category=UY
computational fluid dynamics
data structure design
eq_art-fashion-photography
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
fluid engine
games
grid-based modelling
hybrid fluid simulation
numerical solvers
optimization
particle simulation methods
programming
rendering

Product details

  • ISBN 9781498719926
  • Weight: 660g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Dec 2016
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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From the splash of breaking waves to turbulent swirling smoke, the mathematical dynamics of fluids are varied and continue to be one of the most challenging aspects in animation. Fluid Engine Development demonstrates how to create a working fluid engine through the use of particles and grids, and even a combination of the two. Core algorithms are explained from a developer’s perspective in a practical, approachable way that will not overwhelm readers. The Code Repository offers further opportunity for growth and discussion with continuously changing content and source codes. This book helps to serve as the ultimate guide to navigating complex fluid animation and development.

    • Explains how to create a fluid simulation engine from scratch
    • Offers an approach that is code-oriented rather than math-oriented, allowing readers to learn how fluid dynamics works with code, with downloadable code available
    • Explores various kinds of simulation techniques for fluids using particles and grids
    • Discusses practical issues such as data structure design and optimizations
    • Covers core numerical tools including linear system and level set solvers

Doyub completed his B.S. and Ph.D. from Seoul National University. His doctoral research focused on physics-based animation and high-performance computing. After completing his doctoral study, he worked at Carnegie Mellon University as a post-doctoral researcher and U.C. Berkeley as a visiting researcher. Then he started his industry career at Microsoft to work on 3D maps, and later he joined Uber Maps Research team.

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