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A Steepest Descent Algorithm for M-Convex Functions on Jump Systems

Kazuo MUROTA, Ken'ichiro TANAKA

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Summary :

The concept of M-convex functions has recently been generalized for functions defined on constant-parity jump systems. The b-matching problem and its generalization provide canonical examples of M-convex functions on jump systems. In this paper, we propose a steepest descent algorithm for minimizing an M-convex function on a constant-parity jump system.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.5 pp.1160-1165
Publication Date
2006/05/01
Publicized
Online ISSN
1745-1337
DOI
10.1093/ietfec/e89-a.5.1160
Type of Manuscript
Special Section PAPER (Special Section on Discrete Mathematics and Its Applications)
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