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   	<dc:title>The power of linear programming for general-valued CSPs</dc:title>
   	<dc:creator>Kolmogorov, Vladimir</dc:creator>
   	<dc:creator>Thapper, Johan</dc:creator>
   	<dc:creator>Živný, Stanislav</dc:creator>
   	<dc:description>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).
Our 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.
Using 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. </dc:description>
   	<dc:publisher>SIAM</dc:publisher>
   	<dc:date>2015</dc:date>
   	<dc:type>info:eu-repo/semantics/article</dc:type>
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   	<dc:type>http://purl.org/coar/resource_type/c_2df8fbb1</dc:type>
   	<dc:identifier>https://research-explorer.ista.ac.at/record/2271</dc:identifier>
   	<dc:source>Kolmogorov V, Thapper J, Živný S. The power of linear programming for general-valued CSPs. &lt;i&gt;SIAM Journal on Computing&lt;/i&gt;. 2015;44(1):1-36. doi:&lt;a href=&quot;https://doi.org/10.1137/130945648&quot;&gt;10.1137/130945648&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
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   	<dc:relation>info:eu-repo/semantics/altIdentifier/wos/000353967100001</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/arxiv/1311.4219</dc:relation>
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