▁to ▁" help " ▁the ▁DM ▁minim ize ▁, ▁a ▁sympath etic ▁Nature ▁will ▁select ▁a ▁ ▁that ▁minim izes ▁ ▁over ▁ ▁. ▁ ▁Clear ly , ▁info - g ap ' s ▁opportun eness ▁model ▁is ▁an ▁instance ▁of ▁the ▁generic ▁minim in ▁model . ▁ ▁Other ▁form ulations ▁▁ ▁There ▁are ▁of ▁course ▁other ▁valid ▁representations ▁of ▁the ▁robust ness / o pport un eness ▁models . ▁ ▁For ▁instance , ▁in ▁the ▁case ▁of ▁the ▁robust ness ▁model , ▁the ▁out comes ▁can ▁be ▁defined ▁as ▁follows ▁( S n ied ov ich ▁ 2 0 0 7 ) ▁: ▁ ▁where ▁the ▁binary ▁operation ▁▁ ▁is ▁defined ▁as ▁follows : ▁ ▁The ▁corresponding ▁MP ▁format ▁of ▁the ▁Max imin ▁model ▁would ▁then ▁be ▁as ▁follows : ▁ ▁In ▁words , ▁to ▁maxim ize ▁the ▁robust ness , ▁the ▁DM ▁selects ▁the ▁largest ▁value ▁of ▁ ▁such ▁that ▁the ▁performance ▁ ▁constraint ▁ ▁is ▁satisfied ▁by ▁all ▁. ▁In ▁plain ▁language : ▁the ▁DM ▁selects ▁the ▁largest ▁value ▁of ▁▁ ▁whose ▁worst ▁outcome ▁in ▁the ▁region ▁of ▁uncertainty ▁of ▁size ▁▁▁ ▁satisfies ▁the ▁performance ▁requirement . ▁ ▁Sim pl ifications ▁▁ ▁As ▁a ▁rule ▁the ▁classical ▁Max imin ▁form ulations ▁are ▁not ▁particularly ▁useful ▁when ▁it ▁comes ▁to ▁solving ▁the ▁problems ▁they ▁represent , ▁as ▁no ▁" general ▁purpose " ▁Max imin ▁sol ver ▁is ▁available ▁( R ust em ▁and ▁How e ▁ 2 0 0 2 ). ▁ ▁It ▁is ▁common ▁practice ▁therefore ▁to ▁simplify ▁the ▁classical