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Fluid control using the adjoint method

Fluid control using the adjoint method We describe a novel method for controlling physics-based fluid simulations through gradient-based nonlinear optimization. Using a technique known as the adjoint method , derivatives can be computed efficiently, even for large 3D simulations with millions of control parameters. In addition, we introduce the first method for the full control of free-surface liquids. We show how to compute adjoint derivatives through each step of the simulation, including the fast marching algorithm, and describe a new set of control parameters specifically designed for liquids. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Graphics (TOG) Association for Computing Machinery

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2004 by ACM Inc.
ISSN
0730-0301
DOI
10.1145/1015706.1015744
Publisher site
See Article on Publisher Site

Abstract

We describe a novel method for controlling physics-based fluid simulations through gradient-based nonlinear optimization. Using a technique known as the adjoint method , derivatives can be computed efficiently, even for large 3D simulations with millions of control parameters. In addition, we introduce the first method for the full control of free-surface liquids. We show how to compute adjoint derivatives through each step of the simulation, including the fast marching algorithm, and describe a new set of control parameters specifically designed for liquids.

Journal

ACM Transactions on Graphics (TOG)Association for Computing Machinery

Published: Aug 1, 2004

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