A linear programming based approach to the Steiner tree problem with a fixed number of terminals
Year: 2019
Type: article
Abstract: We present a set of integer programs (IPs) for the Steiner tree problem with the property that the best solution obtained by solving all IPs provides an optimal Steiner tree. Each IP is polynomial in the size of the underlying graph and our main result is that the linear programming (LP) relaxation of each IP is integral so that it can be solved as a linear program. However, the number of IPs grows exponentially with the number of terminals in the Steiner tree. As a consequence, we are able to solve the Steiner tree problem by solving a polynomial number of LPs, when the number of terminals is fixed.
Source: Networks
DOI: 10.1002/net.21913
Authors: Matias Siebert, Shabbir Ahmed, George Nemhauser
Institution: Georgia Institute of Technology
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G4465799493
OpenAlex ID: W2903547786
