Examples of using Constraint programming in English and their translations into Serbian
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I am also interested in Constraint Programming.
Constraint programming libraries for general-purpose programming languages.
They are however used often in constraint programming.
Constraint programming is an embedding of constraints in a host language.
Some languages that support constraint programming.
Constraint programming is often realized in imperative programming via a separate library.
Some popular domains for constraint programming are.
Constraint programming often complements other paradigms: functional, logical, or even imperative programming. .
Bertrand, a language for building constraint programming systems.
In constraint programming, relations between variables are stated in the form of constraints, specifying the properties of a solution to be found.
Finite domains is one of the most successful domains of constraint programming.
The constraints used in constraint programming are typically over some specific domains.
AMPI, an algebraic modeling language with support for constraint programming.[6].
In some areas(like operations research) constraint programming is often identified with constraint programming over finite domains.
Constraint programming Constraint programming can be expressed in the form of constraint logic programming, which embeds constraints into a logic program.
Inductive functional programming, which uses functional programming languages such as Lisp or Haskell, and most especially inductive logic programming, which uses logic programming languages such as Prolog and other logical representations such as description logics, have been more prominent, but other(programming) language paradigms have also been used,such as constraint programming or probabilistic programming. .
The constraint programming approach is to search for a state of the world in which a large number of constraints are satisfied at the same time.
The diversity of inductive programming usually comes from the applications and the languages that are used: apart from logic programming and functional programming, other programming paradigms and representation languages have been used or suggested in inductive programming, such as functional logic programming, constraint programming, probabilistic programming, abductive logic programming, modal logic, action languages, agent languages and many types of imperative languages.
Temporal concurrent constraint programming(TCC) and non-deterministic temporal concurrent constraint programming(MJV) are variants of constraint programming that can deal with time.
Some popular domains for constraint programming are: boolean domains, where only true/false constraints apply(SAT problem) integer domains, rational domains interval domains, in particular for scheduling problems linear domains, where only linear functions are described and analyzed(although approaches to non-linear problems do exist) finite domains, where constraints are defined over finite sets mixed domains, involving two or more of the above Finite domains is one of the most successful domains of constraint programming. .
Concurrent constraint logic programming chooses only one.
The first host languages used were logic programming languages,so the field was initially called constraint logic programming.
Constraint logic programming with real numbers uses real expressions as terms.
Constraint logic programming was introduced by Jaffar and Lassez in 1987.
Today most Prolog implementations include one or more libraries for constraint logic programming.
The following is a Prolog program that solves the classical alphametic puzzle SEND+MORE=MONEY in constraint logic programming.
When the guards of several clauses are satisfied,concurrent constraint logic programming makes a committed choice to use only one.
Constraint logic programming combines Horn clause logic programming with constraint solving.
Most notably, this difference affects how the interpreter behaves when more than one clause is applicable: non-concurrent constraint logic programming recursively tries all clauses;concurrent constraint logic programming chooses only one.
Constraint logic programming with tree terms emulates regular logic programming by storing substitutions as constraints in the constraint store.