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Méthodes de décomposition. Overview of the main decomposition methods used – To solve large scale problem – To take advantage of structures embedded in the problem. Min f ( x ) Subject to x ε X 1 x ε X 2 X 1 : nice constraints
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Overview of the main decomposition methods used – To solve large scale problem – To take advantage of structures embedded in the problem
Min f (x) Subject to x εX1 x εX2 X1: nice constraints X2: annoying constraints Column generation (Dantzig – Wolfe Decomposition) Lagrangean relaxation Min f (x,y) Subject to F (x,y) ≤ 0 xεX,yεY x : nice variables y : annoying variables Constraint generation (Benders Decomposition) Problem types
Existence de bornes inférieure et supérieure sur la valeur optimal