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
Quasi M-convex and L-convex functions—quasiconvexity in discrete optimization
✍ Scribed by Kazuo Murota; Akiyoshi Shioura
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 298 KB
- Volume
- 131
- Category
- Article
- ISSN
- 0166-218X
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✦ Synopsis
We introduce two classes of discrete quasiconvex functions, called quasi M-and L-convex functions, by generalizing the concepts of M-and L-convexity due to Murota (Adv. Math. 124 (1996) 272) and (Math. Programming 83 (1998) 313). We investigate the structure of quasi Mand L-convex functions with respect to level sets, and show that various greedy algorithms work for the minimization of quasi M-and L-convex functions.
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