On 06/04/2013 15:49, Matthew Skala wrote: > Does lib(ic) or its relatives provide any labelling routine capable of > instantiating real-number variables in a way that will stop bb_min from > producing the "search did not instantiate cost variable" error? The > search/6, labeling/1, and indomain/{1,2} predicates only seem to work on > integers. I can narrow down the domains of real variables with > locate/{2,3,4}, but the only really simple way I've found to keep bb_min > happy is to do locate to my desired level of precision, then call > get_median/2 on my cost variable and set the cost equal to the median > value. If you set the variable to a float (like the median of the interval), then you claim a precision that was not implied by the solver, and as a result, your constraints may wake up and fail. The technically correct way would be to instantiate the interval variable to a "bounded real" constant instead, like so get_var_bounds(X, XL, XH), breal_from_bounds(XL, XH, X) This turns the variable X into a constant with the same bounds. The semantic difference between the two is subtle: for an interval variable, there _may_ be a solution within the bounds (and these bounds may be tightened further), while a breal constant means that there _is_ a value, it's just not precisely known (and will not be known any more precisely). Because instantiation to a breal "freezes" the imprecision, you should do this as late as possible in your computation, otherwise you forego possible further bound reductions due to constraint propagation. bb_min should correctly deal with breals. -- JoachimReceived on Sun Apr 07 2013 - 23:36:19 CEST
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