Arithmetic Interpolation Search for Alphabet Tables
IEEE Transactions on Computers
Journal of the ACM (JACM)
Implicit Data Structures for the Dictionary Problem
Journal of the ACM (JACM)
Advanced database indexing
Tight(er) worst-case bounds on dynamic searching and priority queues
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Interpolation search—a log logN search
Communications of the ACM
Optimal bounds for the predecessor problem and related problems
Journal of Computer and System Sciences - STOC 1999
A Sparse Table Implementation of Priority Queues
Proceedings of the 8th Colloquium on Automata, Languages and Programming
Dynamic Interpolation Search in o(log log n) Time
ICALP '93 Proceedings of the 20th International Colloquium on Automata, Languages and Programming
Interpolation search for non-independent data
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
The complexity of searching an ordered random table
SFCS '76 Proceedings of the 17th Annual Symposium on Foundations of Computer Science
Addressing for random-access storage
IBM Journal of Research and Development
Dynamic Web Service discovery architecture based on a novel peer based overlay network
Journal of Systems and Software
Dynamic 3-Sided Planar Range Queries with Expected Doubly Logarithmic Time
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
Digital watermarking in peer to peer networks
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Efficient processing of 3-sided range queries with probabilistic guarantees
Proceedings of the 13th International Conference on Database Theory
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
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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.