SODA 2016
Improved Approximation Algorithms for k -Submodular Function Maximization
Abstract
This paper presents a polynomial-time 1/2-approximation algorithm for maximizing nonnegative k -submodular functions. This improves upon the previous max{1/3, 1/(1 + a )}-approximation by Ward and Živný [18], where a =. We also show that for monotone k -submodular functions there is a polynomial-time k /(2 k – 1)-approximation algorithm while for any ∊ > 0 a (( k + 1)/2 k + ∊ )-approximation algorithm for maximizing monotone k -submodular functions would require exponentially many queries. In particular, our hardness result implies that our algorithms are asymptotically tight. We also extend the approach to provide constant factor approximation algorithms for maximizing skewbisubmodular functions, which were recently introduced as generalizations of bisubmodular functions.
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Context
- Venue
- ACM-SIAM Symposium on Discrete Algorithms
- Archive span
- 1990-2025
- Indexed papers
- 4674
- Paper id
- 717613721011987109