Abstract
We survey a number of integer programming formulations for the pathwidth and treewidth problems. The attempts to find good formulations for the problems span the period of 15 years, yet without any true success. Nevertheless, some formulations provide potentially useful frameworks for attacking these notorious problems. Some others are just curious and interesting fruits of mathematical imagination.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bodlaender, H.L.:Personal communications (2004)
Bodlaender, H.L., Koster, A.M.C.A.: Treewidth computations I. Upper bounds. Inf. Comput. 208(3), 259–275 (2010). https://doi.org/10.1016/j.ic.2009.03.008
Bodlaender, H.L., Koster, A.M.C.A.: Treewidth computations II. Lower bounds. Inf. Comput. 209(7), 1103–1119 (2011). https://doi.org/10.1016/j.ic.2011.04.003
Bornstein, C.F., Vempala, S.: Flow metrics. Theor. Comput. Sci. 321(1), 13–24 (2004). https://doi.org/10.1016/j.tcs.2003.05.003
Crescenzi, P., Di Battista, G., Piperno, A.: A note on optimal area algorithms for upward drawings of binary trees. Comput. Geom. 2, 187–200 (1992). https://doi.org/10.1016/0925-7721(92)90021-J
Goldberg, A.V.: Finding a maximum density subgraph. Technical report, UCB/CSD-84-171. EECS Department, University of California, Berkeley (1984). http://www2.eecs.berkeley.edu/Pubs/TechRpts/1984/5956.html
Margulies, S., Ma, J., Hicks, I.V.: The Cunningham-Geelen method in practice: branch-decompositions and integer programming. INFORMS J. Comput. 25(4), 599–610 (2013). https://doi.org/10.1287/ijoc.1120.0524
Preuss, M.: Multimodal Optimization by Means of Evolutionary Algorithms. Natural Computing Series. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-07407-8
Rao, S., Richa, A.W.: New approximation techniques for some linear ordering problems. SIAM J. Comput. 34(2), 388–404 (2004). https://doi.org/10.1137/S0097539702413197
Sonuc, S.B., Smith, J.C., Hicks, I.V.: A branch-and-price-and-cut method for computing an optimal bramble. Discrete Optim. 18, 168–188 (2015). https://doi.org/10.1016/j.disopt.2015.09.005
Usotskaya, N.: Exploiting geometric properties in combinatorial optimization. Ph.D. thesis, Maastricht University, Maastricht, The Netherlands (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Grigoriev, A. (2020). Possible and Impossible Attempts to Solve the Treewidth Problem via ILPs. In: Fomin, F.V., Kratsch, S., van Leeuwen, E.J. (eds) Treewidth, Kernels, and Algorithms. Lecture Notes in Computer Science(), vol 12160. Springer, Cham. https://doi.org/10.1007/978-3-030-42071-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-42071-0_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-42070-3
Online ISBN: 978-3-030-42071-0
eBook Packages: Computer ScienceComputer Science (R0)