Add to ORKGAbstract. In this paper we present GRASPER, a graph constraint solver, based on set constraints, that shows promising results when com-pared to an existing similar solver at this early stage of development
Conventional constraint satisfaction problem (CSP) formulations are static. There is a given set of ...
In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We pr...
In program analysis, unknown properties for terms are typically represented symbolically as variable...
AbstractIn this paper we propose a lazy constraint imposing mechanism for improving the path constra...
In this paper we propose a lazy constraint imposing mechanism for improving the path constraint in G...
Constraint programming (CP) aims at modeling and solving constraint satisfaction problems. These pro...
In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We p...
: This paper describes a framework for expressing and solving combinatorial problems. The framework ...
Constrained graph problems are about finding graphs respecting a given set of constraints. These pro...
A large class of problems in AI and other areas of computer science can be viewed as constraint-sati...
www.pst.informatik.uni-muenchen.de/fruehwir/ We describe how constraints are solved in constraint lo...
The Constraint Satisfaction Problem (CSP) is ubiquitous in artificial intelligence. It has a wide ap...
The last two decades have seen extraordinary advances in industrial applications of constraint satis...
Conventional techniques for the constraint satisfaction problem (CSP) have had considerable success ...
:A D), the assignment of false to A, true to B, false to C and false to D, is a satisfying truth v...
Conventional constraint satisfaction problem (CSP) formulations are static. There is a given set of ...
In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We pr...
In program analysis, unknown properties for terms are typically represented symbolically as variable...
AbstractIn this paper we propose a lazy constraint imposing mechanism for improving the path constra...
In this paper we propose a lazy constraint imposing mechanism for improving the path constraint in G...
Constraint programming (CP) aims at modeling and solving constraint satisfaction problems. These pro...
In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We p...
: This paper describes a framework for expressing and solving combinatorial problems. The framework ...
Constrained graph problems are about finding graphs respecting a given set of constraints. These pro...
A large class of problems in AI and other areas of computer science can be viewed as constraint-sati...
www.pst.informatik.uni-muenchen.de/fruehwir/ We describe how constraints are solved in constraint lo...
The Constraint Satisfaction Problem (CSP) is ubiquitous in artificial intelligence. It has a wide ap...
The last two decades have seen extraordinary advances in industrial applications of constraint satis...
Conventional techniques for the constraint satisfaction problem (CSP) have had considerable success ...
:A D), the assignment of false to A, true to B, false to C and false to D, is a satisfying truth v...
Conventional constraint satisfaction problem (CSP) formulations are static. There is a given set of ...
In an increasing number of domains such as bioinformatics, combinatorial graph problems arise. We pr...
In program analysis, unknown properties for terms are typically represented symbolically as variable...