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Mathematical Programming
Article . 2000 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article
Data sources: zbMATH Open
DBLP
Article . 2000
Data sources: DBLP
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Notes on L-/M-convex functions and the separation theorems

Authors: Satoru Fujishige; Kazuo Murota;

Notes on L-/M-convex functions and the separation theorems

Abstract

This paper deals with convexity for discrete functions. A piecewise-convex extension for a class of discrete functions (integer-valued functions defined on integer lattice points) is defined and a function is said to be integrally convex if its piecewise-convex extension is globally convex. In the introduction of the paper the known relation to submodular functions and to L-convex functions is summarized. Also a reference is given that M- and L-convex functions are in a one-to-one correspondence. In the second section of the paper new results clarifying the relationship between L-convex functions and submodular integrally convex functions are given. The third section contains implications of these results concerning the concepts of conjugacy and duality (including separation results). The last section of the paper gives alternative proofs for the separation theorems relating them to the ordinary separation theorems from convex analysis. The paper is well written and structured.

Keywords

separation theorems, submodularity, L-convex functions, Polyhedral combinatorics, branch-and-bound, branch-and-cut, M-convex functions, Integer programming, Optimality conditions and duality in mathematical programming, Nonconvex programming, global optimization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
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