Combinatorial Optimization and Graph Algorithms 2017
DOI: 10.1007/978-981-10-6147-9_4
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Discrete Convex Functions on Graphs and Their Algorithmic Applications

Abstract: The present article is an exposition of a theory of discrete convex functions on certain graph structures, developed by the author in recent years. This theory is a spin-off of discrete convex analysis by Murota, and is motivated by combinatorial dualities in multiflow problems and the complexity classification of facility location problems on graphs. We outline the theory and algorithmic applications in combinatorial optimization problems.

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Cited by 16 publications
(9 citation statements)
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“…In analogy with isometric subgraphs of hypercubes, which are usually called partial cubes, we call partial Johnson graphs and partial halved-cubes the isometric subgraphs of Johnson graphs and halved-cubes, respectively. In the theory of discrete convexity [54,64], submodular functions on Boolean cubes, L # -convex and N -convex functions on Z d , products of trees, and median graphs are investigated. Lozenge functions, introduced in [9] and used in most of our proofs, can be viewed as a generalization of such discrete convex functions to general graphs.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In analogy with isometric subgraphs of hypercubes, which are usually called partial cubes, we call partial Johnson graphs and partial halved-cubes the isometric subgraphs of Johnson graphs and halved-cubes, respectively. In the theory of discrete convexity [54,64], submodular functions on Boolean cubes, L # -convex and N -convex functions on Z d , products of trees, and median graphs are investigated. Lozenge functions, introduced in [9] and used in most of our proofs, can be viewed as a generalization of such discrete convex functions to general graphs.…”
Section: Discussionmentioning
confidence: 99%
“…Lozenge functions on graphs were introduced and investigated in the context of median functions in [9]. They represent a generalization of L # -convex functions [49] and N -convex functions [55] on particular classes of graphs, both investigated in the theory of discrete convexity [54,64].…”
Section: 2mentioning
confidence: 99%
“…It is also interesting to investigate the possibility of extending the present framework to some of more general discrete convexity (cf. [8,11]). Finally it should be noted that we have treated only bounded convex polyhedra.…”
Section: Discussionmentioning
confidence: 99%
“…The motivation of this paper comes from submodular functions on modular semilattices [15,17]. This class of functions generalizes submodular set functions as well as other submodular-type functions, such as k-submodular functions, and appears from dualities in well-behaved multicommodity flow problems and related label assignment problems; see also [18].…”
Section: Minimizer Set Of Submodular Functionmentioning
confidence: 99%