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Discrete Applied Mathematics
Volume 131, Issue 2, 12 September 2003, Pages 311-322
Submodularity
 
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doi:10.1016/S0166-218X(02)00458-4    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2003 Elsevier B.V. All rights reserved.

A push-relabel framework for submodular function minimization and applications to parametric optimization*1

Lisa FleischerE-mail The Corresponding Author, a, 1 and Satoru Iwatab, 2

a Graduate School of Industrial Administration, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213, USA b Graduate School of Information Science and Technology, University of Tokyo, Tokyo 113-8656, Japan

Received 12 January 2001; 
revised 17 August 2001; 
accepted 5 September 2001. ;
Available online 17 July 2003.

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Abstract

Recently, the first combinatorial strongly polynomial algorithms for submodular function minimization have been devised independently by Iwata, Fleischer, and Fujishige and by Schrijver. In this paper, we improve the running time of Schrijver's algorithm by designing a push-relabel framework for submodular function minimization (SFM). We also extend this algorithm to carry out parametric minimization for a strong map sequence of submodular functions in the same asymptotic running time as a single SFM. Applications include an efficient algorithm for finding a lexicographically optimal base.

Author Keywords: Submodular function; Parametric optimization

Article Outline

1. Introduction
1.1. Notation and definitions
2. Submodular function minimization
2.1. Schrijver's algorithm
2.2. Push-relabel framework
2.3. Correctness and complexity
3. Parametric submodular function minimization
4. Applications
4.1. Finding a weighted minimizer
4.2. Finding a lexicographically optimal base
Acknowledgements
References


Discrete Applied Mathematics
Volume 131, Issue 2, 12 September 2003, Pages 311-322
Submodularity
 
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