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dc.contributor.authorLeiserson, Charles E.en_US
dc.contributor.authorSaxe, James B.en_US
dc.date.accessioned2023-03-29T14:26:45Z
dc.date.available2023-03-29T14:26:45Z
dc.date.issued1985-07
dc.identifier.urihttps://hdl.handle.net/1721.1/149093
dc.description.abstractEfficient algorithms are known for the simple linear programming problem where each inequality is of the form xj-xi<=aij. Furthermore, these techniques extend to the integer linear programming variant of the problem. This paper gives an efficient solution to the mixed-integer linear programming variant where some, but not necessarily all, of the unknowns are required to be integers. The algorithm we develop is based on a graph representation of the constraint system and runs in O(|V||E|+|V|62lh|V|) time. It has several applications including optimal retiming of synchronous circuitry, VLSI layout compaction in the presence of power and ground buses, and PERT scheduling with periodic constraints.en_US
dc.relation.ispartofseriesMIT-LCS-TM-284
dc.titleA Mixed Integer Linear Programming Problem Which is Efficiently Solvableen_US


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