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Conference Paper

Improving Linear Programming Approaches for the Steiner Tree Problem

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

/persons/resource/persons45206

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

/persons/resource/persons44695

Jansen,  Klaus
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Citation

Althaus, E., Polzin, T., & Vahdati Daneshmand, S. (2003). Improving Linear Programming Approaches for the Steiner Tree Problem. In Experimental and efficient algorithms: Second International Workshop, WEA 2003 (pp. 1-14). Berlin, Germany: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2D3C-4
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.