{"doi":"10.1137/130945648","day":"01","oa":1,"date_created":"2018-12-11T11:56:41Z","page":"1 - 36","quality_controlled":"1","abstract":[{"text":"A class of valued constraint satisfaction problems (VCSPs) is characterised by a valued constraint language, a fixed set of cost functions on a finite domain. Finite-valued constraint languages contain functions that take on rational costs and general-valued constraint languages contain functions that take on rational or infinite costs. An instance of the problem is specified by a sum of functions from the language with the goal to minimise the sum. This framework includes and generalises well-studied constraint satisfaction problems (CSPs) and maximum constraint satisfaction problems (Max-CSPs).\r\nOur main result is a precise algebraic characterisation of valued constraint languages whose instances can be solved exactly by the basic linear programming relaxation (BLP). For a general-valued constraint language Γ, BLP is a decision procedure for Γ if and only if Γ admits a symmetric fractional polymorphism of every arity. For a finite-valued constraint language Γ, BLP is a decision procedure if and only if Γ admits a symmetric fractional polymorphism of some arity, or equivalently, if Γ admits a symmetric fractional polymorphism of arity 2.\r\nUsing these results, we obtain tractability of several novel and previously widely-open classes of VCSPs, including problems over valued constraint languages that are: (1) submodular on arbitrary lattices; (2) bisubmodular (also known as k-submodular) on arbitrary finite domains; (3) weakly (and hence strongly) tree-submodular on arbitrary trees. ","lang":"eng"}],"title":"The power of linear programming for general-valued CSPs","author":[{"first_name":"Vladimir","id":"3D50B0BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kolmogorov","full_name":"Kolmogorov, Vladimir"},{"first_name":"Johan","full_name":"Thapper, Johan","last_name":"Thapper"},{"first_name":"Stanislav","full_name":"Živný, Stanislav","last_name":"Živný"}],"publication_status":"published","related_material":{"record":[{"relation":"earlier_version","id":"2518","status":"public"}]},"main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1311.4219"}],"_id":"2271","publist_id":"4673","oa_version":"Preprint","type":"journal_article","publisher":"SIAM","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","intvolume":" 44","language":[{"iso":"eng"}],"status":"public","volume":44,"department":[{"_id":"VlKo"}],"date_published":"2015-02-01T00:00:00Z","citation":{"ista":"Kolmogorov V, Thapper J, Živný S. 2015. The power of linear programming for general-valued CSPs. SIAM Journal on Computing. 44(1), 1–36.","apa":"Kolmogorov, V., Thapper, J., & Živný, S. (2015). The power of linear programming for general-valued CSPs. SIAM Journal on Computing. SIAM. https://doi.org/10.1137/130945648","short":"V. Kolmogorov, J. Thapper, S. Živný, SIAM Journal on Computing 44 (2015) 1–36.","ieee":"V. Kolmogorov, J. Thapper, and S. Živný, “The power of linear programming for general-valued CSPs,” SIAM Journal on Computing, vol. 44, no. 1. SIAM, pp. 1–36, 2015.","ama":"Kolmogorov V, Thapper J, Živný S. The power of linear programming for general-valued CSPs. SIAM Journal on Computing. 2015;44(1):1-36. doi:10.1137/130945648","mla":"Kolmogorov, Vladimir, et al. “The Power of Linear Programming for General-Valued CSPs.” SIAM Journal on Computing, vol. 44, no. 1, SIAM, 2015, pp. 1–36, doi:10.1137/130945648.","chicago":"Kolmogorov, Vladimir, Johan Thapper, and Stanislav Živný. “The Power of Linear Programming for General-Valued CSPs.” SIAM Journal on Computing. SIAM, 2015. https://doi.org/10.1137/130945648."},"month":"02","scopus_import":1,"issue":"1","date_updated":"2024-10-09T20:55:12Z","year":"2015","publication":"SIAM Journal on Computing","external_id":{"arxiv":["1311.4219"]}}