
optimize(+Objective, -Cost, +Options)
EplexInstance:optimize(+Objective, -Cost, +Options)

   Setup problem, solve and instantiate problem variables

Arguments
   Objective           Objective function: min(CostExpr) or max(CostExpr)
   Options             List of solver options
   Cost                Output: cost of returned solution

Type
   library(eplex)

Description

    Take the problem defined by all the constraints that have been set up
    so far, and solve it for the given objective function.  If successful,
    instantiate all problem variables to their solution values.

    This is a convenience predicate that combines solver setup, invocation
    and result retrieval.  It is essentially defined as:
    
    optimize(OptExpr, Cost, Options) :-
        eplex_solver_setup(Objective, _, Options, [])
        eplex_solve(Cost),
        eplex_get(vars, VArr),
        eplex_get(typed_solution, SolutionVector),
        VArr = SolutionVector.                  % do the bindings
    

    For the solver options, see eplex_solver_setup/4.

    

Examples
   see optimize/2

See Also
   $= / 2, $=< / 2, $>= / 2, $:: / 2, integers / 1, reals / 1, eplex_solver_setup / 4, eplex_solve / 1, eplex_get / 2, eplex_var_get / 3, optimize / 2
