We present several results about position heaps, a relatively new alternative to suffix trees and suffix arrays. First, we show that if we limit the maximum length of patterns to be sought, then we can also easily limit the height of the heap and reduce the worst-case cost of insertions and deletions. Second, we show how to build a position heap in linear time independent of the size of the alphabet. Third, we show how to augment a position heap such that it supports access to the corresponding suffix array, and vice versa. Fourth, we introduce a variant of a position heap that can be simulated efficiently by a compressed suffix array with a linear number of extra bits. © 2013 Springer-Verlag.
CITATION STYLE
Gagie, T., Hon, W. K., & Ku, T. H. (2013). New algorithms for position heaps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7922 LNCS, pp. 95–106). https://doi.org/10.1007/978-3-642-38905-4_11
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