constraint solver - ορισμός. Τι είναι το constraint solver
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Τι (ποιος) είναι constraint solver - ορισμός

PROGRAMMING PARADIGM WHEREIN RELATIONS BETWEEN VARIABLES ARE STATED IN THE FORM OF CONSTRAINTS
Constraint solving toolkit; Constraint solver; List of logic programming based constraint logic languages; Babelsberg (programming language); Constraint programming language; List of constraint programming libraries; Constraint modeling language

Constraint programming         
Constraint programming (CP) is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state the constraints on the feasible solutions for a set of decision variables.
Geometric constraint solving         
CONSTRAINT SATISFACTION IN A COMPUTATIONAL GEOMETRY SETTING
Draft:Geometric constraint solving
Geometric constraint solving is constraint satisfaction in a computational geometry setting, which has primary applications in computer aided design. A problem to be solved consists of a given set of geometric elements and a description of geometric constraints between the elements, which could be non-parametric (tangency, horizontality, coaxiality, etc) or parametric (like distance, angle, radius).
Constraint (computational chemistry)         
  • Resolving the constraints of a rigid water molecule using [[Lagrange multipliers]]: a) the unconstrained positions are obtained after a simulation time-step, b) the [[gradients]] of each constraint over each particle are computed and c) the Lagrange multipliers are computed for each gradient such that the constraints are satisfied.
METHOD FOR SATISFYING THE NEWTONIAN MOTION OF A RIGID BODY WHICH CONSISTS OF MASS POINTS
SHAKE (constraint); SETTLE (constraint); LINCS (constraint); Constraint algorithm (mechanics); SHAKE algorithm; Simple constraint; M-SHAKE; SETTLE (algorithm); SETTLE; Constraint algorithm
In computational chemistry, a constraint algorithm is a method for satisfying the Newtonian motion of a rigid body which consists of mass points. A restraint algorithm is used to ensure that the distance between mass points is maintained.

Βικιπαίδεια

Constraint programming

Constraint programming (CP) is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state the constraints on the feasible solutions for a set of decision variables. Constraints differ from the common primitives of imperative programming languages in that they do not specify a step or sequence of steps to execute, but rather the properties of a solution to be found. In addition to constraints, users also need to specify a method to solve these constraints. This typically draws upon standard methods like chronological backtracking and constraint propagation, but may use customized code like a problem-specific branching heuristic.

Constraint programming takes its root from and can be expressed in the form of constraint logic programming, which embeds constraints into a logic program. This variant of logic programming is due to Jaffar and Lassez, who extended in 1987 a specific class of constraints that were introduced in Prolog II. The first implementations of constraint logic programming were Prolog III, CLP(R), and CHIP.

Instead of logic programming, constraints can be mixed with functional programming, term rewriting, and imperative languages. Programming languages with built-in support for constraints include Oz (functional programming) and Kaleidoscope (imperative programming). Mostly, constraints are implemented in imperative languages via constraint solving toolkits, which are separate libraries for an existing imperative language.