Decomposition algorithm for the single machine scheduling polytope

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Abstract

Given an $n$-vector $p$ of processing times of jobs, the single machine scheduling polytope $C$ arises as the convex hull of completion times of jobs when these are scheduled without idle time on a single machine. Given a point $x\in C$, Carathéodory's theorem implies that $x$ can be written as convex combination of at most $n$ vertices of $C$. We show that this convex combination can be computed from $x$ and $p$ in time \bigO{n^2}, which is linear in the naive encoding of the output. We obtain this result using essentially two ingredients. First, we build on the fact that the scheduling polytope is a zonotope. Therefore, all of its faces are centrally symmetric. Second, instead of $C$, we consider the polytope $Q$ of half times and its barycentric subdivision. We show that the subpolytopes of this barycentric subdivison of $Q$ have a simple, linear description. The final decomposition algorithm is in fact an implementation of an algorithm proposed by Grötschel, Lovász, and Schrijver applied to one of these subpolytopes.
Original language Undefined Combinatorial Optimization, Third International Symposium, ISCO 2014 Springer 280-291 12 978-3-319-09173-0 https://doi.org/10.1007/978-3-319-09174-7_24 Published - 5 Mar 2014 Combinatorial Optimization, Third International Symposium, ISCO 2014 - Lisbon, PortugalDuration: 5 Mar 2014 → 7 Mar 2014

Publication series

Name Lecture Notes in Computer Science Springer International Publishing 8596 0302-9743 1611-3349

Conference

Conference Combinatorial Optimization, Third International Symposium, ISCO 2014 5/03/14 → 7/03/14 5-7 March 2014

Keywords

• Polyhedral subdivision
• Polyhedral theory
• EWI-24927
• Decomposition
• METIS-305955
• Scheduling polytope
• Zonotopes
• IR-91477
• Algorithms
• Convex combination