Fast scaling algorithms for M-convex function minimization with application to the resource allocation problem

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Fast scaling algorithms for M-convex function minimization with application to the resource allocation problem

M-convex functions, introduced by Murota (1996, 1998), enjoy various desirable properties as “discrete convex functions.” In this paper, we propose two new polynomial-time scaling algorithms for the minimization of an M-convex function. Both algorithms apply a scaling technique to a greedy algorithm for M-convex function minimization, and run as fast as the previous minimization algorithms. We ...

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ژورنال

عنوان ژورنال: Discrete Applied Mathematics

سال: 2004

ISSN: 0166-218X

DOI: 10.1016/s0166-218x(03)00255-5