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Improving linear programming approaches for the Steiner tree problem

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44003

Althaus,  Ernst
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45206

Polzin,  Tobias
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44281

Daneshmand,  Siavash
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Fulltext (public)

2003-1-004
(Any fulltext), 10KB

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-6BB9-F
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.