Examples of using Constraint satisfaction in English and their translations into Portuguese
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The exact cover problem is a kind of constraint satisfaction problem.
Constraint satisfaction problems on finite domains are typically solved using a form of search.
JaCoP is a constraint solver for constraint satisfaction problems.
Establishing whether a constraint satisfaction problem on a finite domain has solutions is an NP complete problem in general.
A direct correspondence between the constraint satisfaction problem and the homomorphism problem can be established.
This is an easy consequence of a number of other NP complete problems being expressible as constraint satisfaction problems.
Solving a constraint satisfaction problem on a finite domain is an NP complete problem with respect to the domain size.
In modern terms, the problem SAT(S)is viewed as a constraint satisfaction problem over the Boolean domain.
The complexity of constraint satisfaction is the application of computational complexity theory on constraint satisfaction.
The MAX-SAT problem can be extended to the case where the variables of the constraint satisfaction problem belong the set of reals.
The classic model of Constraint Satisfaction Problem defines a model of static, inflexible constraints. .
Collision detection was based onfunctions of ACIS kernel, while motion itself was performed by LGS 3D as a sequence of constraint satisfaction problems.
The techniques used in constraint satisfaction depend on the kind of constraints being considered.
CSPs represent the entities in a problem as a homogeneous collection offinite constraints over variables, which is solved by constraint satisfaction methods.
Constraint satisfaction problems can be reformulated in terms of other problems, leading to equivalent conditions to tractability.
This correspondence has been used to link constraint satisfaction with topics traditionally related to database theory.
The constraint satisfaction problem is however related to the problem of establishing the existence of a homomorphism between two relational structures.
As of 2007, it is not known if such problems can be expressed as constraint satisfaction problems with a fixed constraint language.
A non-uniform constraint satisfaction problem is a restriction where the second structure of the homomorphism problem is fixed.
The problems for which such an inapproximability result would hold include constraint satisfaction problems, which crop up in a wide variety of disciplines.
A uniform constraint satisfaction problem is an arbitrary restriction to the sets of structures for the first and second structure of the homomorphism problem.
These problems are mostly considered when expressing constraint satisfaction in terms of the homomorphism problem, as explained below.
Constraint satisfaction as the name suggests is the process of finding a solution that conforms to a set of constraints that the variables must satisfy.
A relational structure is different from a constraint satisfaction problem because a constraint is a relation and a tuple of variables.
A constraint satisfaction problem meets this restriction if it has exactly this domain and the relation of each constraint is in the given set of relations.
The universal gadget of order k{\displaystyle k}is the constraint satisfaction problem containing all constraints that can be placed in order to obtain the table above.
Constraint satisfaction toolkits are software libraries for imperative programming languages that are used to encode and solve a constraint satisfaction problem.
An alternative formulation of the PCP theorem states that the maximum fraction of satisfiable constraints of a constraint satisfaction problem is NP-hard to approximate within some constant factor.
As a result, if a constraint satisfaction problem has the table on the left as its set of solutions, every relation can be expressed by projecting over a suitable set of variables.