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When modeling combinatorial tasks, the actual search for solutions is typically performed by enumeration predicates like labeling/2. See the the section about core relations and search for more information.
labeling(, Vars). See labeling/2.
The variable selection strategy lets you specify which variable of Vars is labeled next and is one of:
The value order is one of:
The branching strategy is one of:
#\=V, where V is determined by the value ordering options. This is the default.
#=<M and X
#>M, where M is the midpoint of the domain of X.
At most one option of each category can be specified, and an option must not occur repeatedly.
The order of solutions can be influenced with:
This generates solutions in ascending/descending order with respect to the evaluation of the arithmetic expression Expr. Labeling Vars must make Expr ground. If several such options are specified, they are interpreted from left to right, e.g.:
?- [X,Y] ins 10..20, labeling([max(X),min(Y)],[X,Y]).
This generates solutions in descending order of X, and for each
binding of X, solutions are generated in ascending order of Y. To obtain
the incomplete behaviour that other systems exhibit with "
minimize(Expr)", use once/1,
Labeling is always complete, always terminates, and yields no redundant solutions. See core relations and search (section A.8.9) for usage advice.