Extension of M-Convexity and L-Convexity to Polyhedral Convex Functions
β Scribed by Kazuo Murota; Akiyoshi Shioura
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 454 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0196-8858
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β¦ Synopsis
The concepts of M-convex and L-convex functions were proposed by Murota in 1996 as two mutually conjugate classes of discrete functions over integer lattice points. M/L-convex functions are deeply connected with the well-solvability in nonlinear combinatorial optimization with integer variables. In this paper, we extend the concept of M-convexity and L-convexity to polyhedral convex functions, aiming at clarifying the well-behaved structure in well-solved nonlinear combinatorial optimization problems in real variables. The extended M/L-convexity often appears in nonlinear combinatorial optimization problems with piecewise-linear convex cost. We investigate the structure of polyhedral M-convex and L-convex functions from the dual viewpoint of analysis and combinatorics and provide some properties and characterizations. It is also shown that polyhedral M/L-convex functions have nice conjugacy relationships.
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