Generalized minimum 0-extension problem and discrete convexity
Martin Dvorak, Vladimir Kolmogorov

TL;DR
This paper extends the theory of discrete convex functions to a broader class, providing a complexity classification for a generalized minimum 0-extension problem on finite metric spaces, and improves existing algorithms.
Contribution
It generalizes Hirai's theory to include additional terms in the problem and offers explicit conditions for tractability, covering submodular functions on integer lattices.
Findings
Provides a complexity classification based on metric and set conditions.
Defines a larger class of discrete convex functions including submodular functions.
Improves the algorithmic complexity for solving the problem on orientable modular graphs.
Abstract
Given a fixed finite metric space , the {\em minimum -extension problem}, denoted as , is equivalent to the following optimization problem: minimize function of the form where are given nonnegative costs and are functions given by . The computational complexity of has been recently established by Karzanov and by Hirai: if metric is {\em orientable modular} then can be solved in polynomial time, otherwise is NP-hard. To prove the tractability part, Hirai developed a theory of discrete convex functions on orientable modular graphs generalizing several known classes of functions in discrete convex analysis, such as…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Topology and Set Theory · Advanced Graph Theory Research
