0000000000019534

AUTHOR

Pascal Schreck

showing 8 related works from this author

INCIDENCE CONSTRAINTS: A COMBINATORIAL APPROACH

2006

The simplest geometric constraints are incidences between points and lines in the projective plane. This problem is universal, in the sense that all algebraic systems reduce to such geometric constraints. Detecting incidence dependences between these geometric constraints is NP-complete. New methods to prove incidence theorems are proposed, which use strictly no computer algebra but only combinatorial arguments.

Discrete mathematicsIncidence geometryApplied MathematicsCombinatorial proofSymbolic computationTheoretical Computer ScienceAlgebraComputational MathematicsComputational Theory and MathematicsGeometry and TopologyProjective planeAlgebraic numberIncidence (geometry)MathematicsProjective geometryInternational Journal of Computational Geometry & Applications
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Special track on Geometric Constraints and Reasoning

2008

Geometric Computing and Reasoning (GCR) aims at emphasizing recent trends in the domain of geometric constraint solving and automated, or computer aided deduction in geometry. This year sees the third edition of this technical track of SAC.

Geometric networksConstraint (information theory)Theoretical computer scienceComputer scienceTrack (rail transport)Geometric computingComputingMethodologies_COMPUTERGRAPHICSDomain (software engineering)Proceedings of the 2008 ACM symposium on Applied computing
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Session details: Geometric computing and reasoning (GCR)

2006

Human–computer interactionComputer scienceSession (computer science)Geometric computingProceedings of the 2006 ACM symposium on Applied computing
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Session details: Geometric computing and reasoning

2007

Human–computer interactionComputer scienceSession (computer science)Geometric computingProceedings of the 2007 ACM symposium on Applied computing
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Editorial message

2006

Geometric Computing and Reasoning (GCR) is a new track of SAC and it is dedicated to the recent trends in the domain of geometric constraint solving and automated, or computer aided, deduction in geometry.

Constraint (information theory)Theoretical computer scienceComputer scienceQuantitative Biology::Tissues and OrgansTrack (rail transport)Geometric computingComputingMethodologies_COMPUTERGRAPHICSDomain (software engineering)Proceedings of the 2006 ACM symposium on Applied computing
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Session details: Geometric constraints and reasoning

2008

Human–computer interactionComputer scienceSession (computer science)Proceedings of the 2008 ACM symposium on Applied computing
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Using the witness method to detect rigid subsystems of geometric constraints in CAD

2010

International audience; This paper deals with the resolution of geometric constraint systems encountered in CAD-CAM. The main results are that the witness method can be used to detect that a constraint system is over-constrained and that the computation of the maximal rigid subsystems of a system leads to a powerful decomposition method. In a first step, we recall the theoretical framework of the witness method in geometric constraint solving and extend this method to generate a witness. We show then that it can be used to incrementally detect over-constrainedness. We give an algorithm to efficiently identify all maximal rigid parts of a geometric constraint system. We introduce the algorit…

Mathematical optimization[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulationrigidity theorygeometric constraints solvingComputation020207 software engineeringCADJacobian matrix02 engineering and technologyW-decompositionwitness configuration16. Peace & justiceWitness[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationsymbols.namesakeJacobian matrix and determinant0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingRigidity theoryAlgorithmAlgorithmsMathematics
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Extensions of the witness method to characterize under-, over- and well-constrained geometric constraint systems

2011

International audience; This paper describes new ways to tackle several important problems encountered in geometric constraint solving, in the context of CAD, and which are linked to the handling of under- and over-constrained systems. It presents a powerful decomposition algorithm of such systems. Our methods are based on the witness principle whose theoretical background is recalled in a first step. A method to generate a witness is then explained. We show that having a witness can be used to incrementally detect over-constrainedness and thus to compute a well-constrained boundary system. An algorithm is introduced to check if anchoring a given subset of the coordinates brings the number …

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationBoundary (topology)Witness configuration020207 software engineeringContext (language use)CAD02 engineering and technologyW-decompositionComputer Graphics and Computer-Aided DesignWitness[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationIndustrial and Manufacturing EngineeringComputer Science ApplicationsConstraint (information theory)symbols.namesakeTransformation groupJacobian matrix and determinant0202 electrical engineering electronic engineering information engineeringsymbolsGeometric constraints solving020201 artificial intelligence & image processingFinite setAlgorithmAlgorithmsMathematics
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