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About: Dead-end elimination     Goto   Sponge   NotDistinct   Permalink

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Type: softwareyago:Ability105616246yago:Abstraction100002137yago:Cognition100023271yago:Know-how105616786yago:Method105660268yago:PsychologicalFeature100023100yago:WikicatProteinMethods New Facet based on Instances of this Class

The dead-end elimination algorithm (DEE) is a method for minimizing a function over a discrete set of independent variables. The basic idea is to identify "dead ends", i.e., combinations of variables that are not necessary to define a global minimum because there is always a way of replacing such combination by a better or equivalent one. Then we can refrain from searching such combinations further. Hence, dead-end elimination is a mirror image of dynamic programming, in which "good" combinations are identified and explored further.