'Implied constraints' presentation slideshows

Constraint Programming: modelling

970 views • 84 slides

Non-binary constraints: modelling

Non-binary constraints: modelling. Toby Walsh Cork Constraint Computation Center. Modelling case studies. Golomb rulers Graceful graphs [Smith & Walsh AAAI2000] Permutation problems Channelling constraints [Walsh LPAR 2001]. Golomb rulers. Mark ticks on a ruler

460 views • 45 slides

CGRASS

CGRASS. Alan Frisch, Ian Miguel AI Group University of York Toby Walsh 4C. A System for Transforming Constraint Satisfaction Problems. Overview. Motivation Proof Planning CGRASS The Golomb Ruler Results Conclusion/Future Work. Motivation.

455 views • 45 slides

Solve Your Problem Faster - by changing the model

Solve Your Problem Faster - by changing the model. Barbara Smith. Background Assumptions. A constraint programming tool providing: a systematic search algorithm combined with constraint propagation a set of pre-defined constraints

429 views • 32 slides

Solve Your Problem Faster - by changing the model

Solve Your Problem Faster - by changing the model. Barbara Smith. Background Assumptions. A constraint programming tool providing: a systematic search algorithm combined with constraint propagation a set of pre-defined constraints

322 views • 32 slides

CGRASS

CGRASS. A System for Transforming Constraint Satisfaction Problems. Alan Frisch, Ian Miguel (York) Toby Walsh (Cork). Motivation. Modelling experts carefully transform problems to reduce greatly the effort required to solve them. The challenge: Automate these transformations.

336 views • 26 slides

Modelling for Constraint Programming

226 views • 22 slides

Modelling for Constraint Programming

Modelling for Constraint Programming. Barbara Smith 2. Implied Constraints, Optimization, Dominance Rules. Implied Constraints. Implied constraints are logical consequences of the set of existing constraints So are logically redundant (sometimes called redundant constraints)

278 views • 20 slides

Modelling for Constraint Programming

Modelling for Constraint Programming. Barbara Smith 2. Implied Constraints, Optimization, Dominance Rules. Implied Constraints. Implied constraints are logical consequences of the set of existing constraints So are logically redundant (sometimes called redundant constraints)

207 views • 20 slides

Generating Implied Constraints via Proof Planning

231 views • 16 slides

Generating Implied Constraints via Proof Planning

162 views • 16 slides