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

نویسندگان

  • Kazuo Murota
  • Ken'ichiro Tanaka
چکیده

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 M-convex functions on constant-parity jump systems.

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عنوان ژورنال:
  • IEICE Transactions

دوره 89-A  شماره 

صفحات  -

تاریخ انتشار 2006