2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling 2009
DOI: 10.1145/1629255.1629270
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Treedecomposition of geometric constraint graphs based on computing graph circuits

Abstract: The graph-based geometric constraint solving technique works in two steps. First the geometric problem is translated into a graph whose vertices represent the set of geometric elements and whose edges are the constraints. Then the constraint problem is solved by decomposing the graph into a collection of subgraphs each representing a standard problem which is solved by a dedicated equational solver.In this work we report on an algorithm to decompose biconnectedtree-decomposable graphs representing either under… Show more

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Cited by 7 publications
(6 citation statements)
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References 13 publications
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“…The computational cost of evaluating this fitness function depends quadratically on the number of signs in the index |I | (Hoffmann and Joan-Arinyo, 2005; Joan-Arinyo, Tarrés-Puertas, et al, 2008), and linearly on the number of extra constraints, |C | (Luzón et al, 2005). This means that computational requirements are high.…”
Section: Fitness Functionmentioning
confidence: 99%
“…The computational cost of evaluating this fitness function depends quadratically on the number of signs in the index |I | (Hoffmann and Joan-Arinyo, 2005; Joan-Arinyo, Tarrés-Puertas, et al, 2008), and linearly on the number of extra constraints, |C | (Luzón et al, 2005). This means that computational requirements are high.…”
Section: Fitness Functionmentioning
confidence: 99%
“…Design and verification of the algorithm as well as simulation of the algorithm runtime behavior. The new DR-planner algorithm was tested and the empirical behavior was documented in [70].…”
Section: Methodsmentioning
confidence: 99%
“…In Automated Deduction in Geometry -7th International Workshop, ADG 2008, Shanghai, China (2008), pp. 96-101, [69].…”
Section: Scientific Publicationsmentioning
confidence: 99%
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