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Journal ArticleDOI

Storing a Sparse Table with 0(1) Worst Case Access Time

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TLDR
A data structure for representing a set of n items from a universe of m items, which uses space n+o(n) and accommodates membership queries in constant time and is easy to implement.
Abstract
A data structure for representing a set of n items from a umverse of m items, which uses space n + o(n) and accommodates membership queries m constant time is described. Both the data structure and the query algorithm are easy to ~mplement.

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Citations
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Book ChapterDOI

Priority Queues: Small, Monotone and Trans-dichotomous

TL;DR: Two data-structuring problems which involve performing priority queue (pq) operations on a set of integers in the range 0..2w−1 on a unit-cost RAM with word size ω bits are considered.
Proceedings ArticleDOI

Fast moment estimation in data streams in optimal space

TL;DR: In this article, a space-optimal streaming algorithm with update time O(log2(1/e)loglog( 1/e)) for approximating the pth frequency moment, 0 was given.
Journal ArticleDOI

Dynamic ordered sets with exponential search trees

TL;DR: The best known deterministic linear space bound is O(√ log n/log log n) due to as discussed by the authors, where n is the number of integer keys in an ordered set.
Proceedings ArticleDOI

Are bitvectors optimal

TL;DR: Deterministic schemes for the static membership problem are considered and tradeoffs between space and the number of probes are shown.
Proceedings ArticleDOI

Lower bounds for union-split-find related problems on random access machines

TL;DR: This work proves Ω(√log log n) lower bounds on the random access machine complexity of several dynamic, partially dynamic and static data structure problems, including the union-split-find problem, dynamic prefix problems and one-dimensional range query problems.
References
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Journal ArticleDOI

Should Tables Be Sorted

TL;DR: It is shown that, in a rather general model including al1 the commonly-used schemes, $\lceil $ lg(n+l) $\rceil$ probes to the table are needed in the worst case, provided the key space is sufficiently large.
Journal ArticleDOI

Storing a sparse table

TL;DR: This work proposes a good worst-case method for storing a static table of n entries, each an integer between 0 and N - 1, and analysis shows why a simpler algorithm used for compressing LR parsing tables works so well.
Journal ArticleDOI

Perfect hashing functions: a single probe retrieving method for static sets

TL;DR: A refinement of hashing which allows retrieval of an item in a static table with a single probe is considered, and a rough comparison with ordinary hashing is given which shows that this method can be used conveniently in several practical applications.
Journal ArticleDOI

Reciprocal hashing: a method for generating minimal perfect hashing functions

TL;DR: A method is presented for building minimal perfect hash functions, i.e., functions which allow single probe retrieval from minimally sized tables of identifier sets, and a proof of existence for minimalperfect hash functions of a special type (reciprocal type) is given.