Dynamic interpolation search revisited

  • Authors:
  • Alexis Kaporis;Christos Makris;Spyros Sioutas;Athanasios Tsakalidis;Kostas Tsichlas;Christos Zaroliagis

  • Affiliations:
  • Dept of Computer Eng and Informatics, University of Patras, Patras, Greece;Dept of Computer Eng and Informatics, University of Patras, Patras, Greece;Dept of Computer Eng and Informatics, University of Patras, Patras, Greece;Dept of Computer Eng and Informatics, University of Patras, Patras, Greece;Dept of Computer Eng and Informatics, University of Patras, Patras, Greece;Dept of Computer Eng and Informatics, University of Patras, Patras, Greece

  • Venue:
  • ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
  • Year:
  • 2006

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Abstract

A new dynamic Interpolation Search (IS) data structure is presented that achieves O(loglogn) search time with high probability on unknown continuous or even discrete input distributions with measurable probability of key collisions, including power law and Binomial distributions. No such previous result holds for IS when the probability of key collisions is measurable. Moreover, our data structure exhibits O(1) expected search time with high probability for a wide class of input distributions that contains all those for which o(loglogn) expected search time was previously known.