Abstract
A t-interval is a union of at most t half-open intervals on the real line. An interval is the special case where t=1. In this paper we study the problems of online selection of intervals and t-intervals. We derive lower bounds and (almost) matching upper bounds on the competitive ratios of randomized algorithms for selecting intervals, 2-intervals and t-intervals, for any t>2. While offline t-interval selection has been studied before, the online version is considered here for the first time.
Original language | English |
---|---|
Pages (from-to) | 1-11 |
Number of pages | 11 |
Journal | Information and Computation |
Volume | 233 |
DOIs | |
Publication status | Published - 2013 |
Other keywords
- Competitive analysis
- Interval selection
- Online algorithms