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https://doi.org/10.1007/3-211-...
Part of book or chapter of book . 2005 . Peer-reviewed
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Generating Sequential Triangle Strips by Using Hopfield Nets

Authors: Šíma, J. (Jiří);

Generating Sequential Triangle Strips by Using Hopfield Nets

Abstract

The important task of generating the minimum number of sequential triangle strips (tristrips) for a given triangulated surface model is motived by applications in computer graphics. This hard combinatorial optimization problem is reduced to the minimum energy problem in Hopfield nets by a linear-size construction. The Hopfield network powered by simulated annealing (i.e. Boltzmann machine) which is implemented in a program HTGEN can be used for computing the semi-optimal stripifications. Practical experiments confirm that one can obtain much better results using HTGEN than by a leading stripification program FTSG although the running time of simulated annealing grows rapidly near the global optimum.

Keywords

minimum energy, combinatorial optimization, Hopfield network, simulated annealing, sequential triangle strip

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green