2019
DOI: 10.1111/cgf.13759
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Position‐Based Simulation of Elastic Models on the GPU with Energy Aware Gauss‐Seidel Algorithm

Abstract: In this paper, we provide a smooth extension of the energy aware Gauss‐Seidel iteration to the Position‐Based Dynamics (PBD) method. This extension is inspired by the kinetic and potential energy changes equalization and uses the foundations of the recent extended version of PBD algorithm (XPBD). The proposed method is not meant to conserve the total energy of the system and modifies each position constraint based on the equality of the kinetic and potential energy changes within the Gauss‐Seidel process of th… Show more

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Cited by 4 publications
(1 citation statement)
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“…When solving graph coloring problems using common intelligent algorithms, there is a limitation that is limited to solving graph coloring problems with a single constraint, for example, ant colony algorithm, BP neural network algorithm, tree algorithm, etc. However, when faced with the problem of multiconstraint graph coloring, the effect of common algorithms is often unsatisfactory [15].…”
Section: Related Workmentioning
confidence: 99%
“…When solving graph coloring problems using common intelligent algorithms, there is a limitation that is limited to solving graph coloring problems with a single constraint, for example, ant colony algorithm, BP neural network algorithm, tree algorithm, etc. However, when faced with the problem of multiconstraint graph coloring, the effect of common algorithms is often unsatisfactory [15].…”
Section: Related Workmentioning
confidence: 99%