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  Improving linear programming approaches for the Steiner tree problem

Althaus, E., Polzin, T., & Daneshmand, S.(2003). Improving linear programming approaches for the Steiner tree problem (MPI-I-2003-1-004). Saarbrücken: Max-Planck-Institut für Informatik.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-6BB9-F Version Permalink: https://hdl.handle.net/21.11116/0000-0001-7AD5-6
Genre: Report

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 Creators:
Althaus, Ernst1, Author           
Polzin, Tobias1, Author           
Daneshmand, Siavash1, Author           
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1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: We present two theoretically interesting and empirically successful techniques for improving the linear programming approaches, namely graph transformation and local cuts, in the context of the Steiner problem. We show the impact of these techniques on the solution of the largest benchmark instances ever solved.

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Language(s): eng - English
 Dates: 2003
 Publication Status: Issued
 Pages: 19 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
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 Identifiers: Report Nr.: MPI-I-2003-1-004
BibTex Citekey: MPI-I-2003-1-004
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Title: Research Report / Max-Planck-Institut für Informatik
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