Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Polynomially bounded minimization problems that are hard to approximate
Nordic Journal of Computing
Pipeline Transportation of Petroleum Products with No Due Dates
LATIN '02 Proceedings of the 5th Latin American Symposium on Theoretical Informatics
The complexity of makespan minimization for pipeline transportation
Theoretical Computer Science
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SPTP is a model for the pipeline transportation of petroleum products. It uses a directed graph G, where arcs represent pipes and nodes represent locations. In this paper, we analyze the complexity of finding a minimum makespan solution to SPTP. This problem is called SPTMP. We prove that, for any 驴 0, there is no 驴1-驴-approximate algorithm for the SPTMP unless P = NP, where 驴 is the input size. This result also holds if G is both planar and acyclic. If G is acyclic, then we give a m-approximate algorithm to SPTMP, where m is the number of arcs in G.