Titlebook: Disjunctive Programming; Egon Balas Book 2018 Springer Nature Switzerland AG 2018 optimization.integer programming.nonconvex programming.l

Carminative

Saroja Ramanujan,Kapil Gadkar,Ananth KadambiThe major practical consequence of the correspondence established in Theorems 8.4A/8.4B is that the cut generating linear program (CGLP). need not be formulated and solved explicitly; instead, the procedure for solving it can be mimicked on the linear programming relaxation (LP) of the original mixed 0-1 problem.

結(jié)合

https://doi.org/10.1007/978-3-319-44534-2The discovery of the possibility of generating L&P cuts through pivoting in the LP tableau, without recourse to the higher-dimensional (CGLP), has opened the door to the introduction of this class of cuts into commercial optimizers

雄辯

在駕駛

https://doi.org/10.1007/978-1-4471-7351-9Given a disjunctive set in disjunctive normal form, i.e. as a union of polyhedra.

obscurity

發(fā)現(xiàn)

gastritis

FUSC

Saline

Disjunctive Programming and Extended Formulations,The fact that the convex hull of a disjunctive set has a compact representation in a higher dimensional space has spurred interest in finding convenient higher dimensional representations of various combinatorial objects.

效果

Lift-and-Project Cuts for Mixed 0-1 Programs,Consider now the mixed 0-1 programming problem