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Minimum Cost Homomorphism Dichotomy for Locally In-Semicomplete Digraphs

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Combinatorial Optimization and Applications (COCOA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5165))

Abstract

For digraphs G and H, a homomorphism of G to H is a mapping such that uv ∈ A(G) implies f(u)f(v) ∈ A(H). In the minimum cost homomorphism problem we associate costs c i (u), u ∈ V(G), i ∈ V(H) with the mapping of u to i and the cost of a homomorphism f is defined ∑  u ∈ V(G) c f(u)(u) accordingly. Here the minimum cost homomorphism problem for a fixed digraph H, denoted by MinHOM(H), is to check whether there exists a homomorphism of G to H and to obtain one of minimum cost, if one does exit.

The minimum cost homomorphism problem is now well understood for digraphs with loops. For loopless digraphs only partial results are known. In this paper, we find a full dichotomy classification of MinHom(H), when H is a locally in-semicomplete digraph. This is one of the largest classes of loopless digraphs for which such dichotomy classification has been proved. This paper extends the previous result for locally semicomplete digraphs.

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Boting Yang Ding-Zhu Du Cao An Wang

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Gupta, A., Karimi, M., Kim, E.J., Rafiey, A. (2008). Minimum Cost Homomorphism Dichotomy for Locally In-Semicomplete Digraphs. In: Yang, B., Du, DZ., Wang, C.A. (eds) Combinatorial Optimization and Applications. COCOA 2008. Lecture Notes in Computer Science, vol 5165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85097-7_35

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  • DOI: https://doi.org/10.1007/978-3-540-85097-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85096-0

  • Online ISBN: 978-3-540-85097-7

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