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Mastering Algorithms with C
book

Mastering Algorithms with C

by Kyle Loudon
August 1999
Intermediate to advanced
560 pages
18h 57m
English
O'Reilly Media, Inc.
Content preview from Mastering Algorithms with C

Description of Open-Addressed Hash Tables

In a chained hash table, elements reside in buckets extending from each position. In an open-addressed hash table, on the other hand, all elements reside in the table itself. This may be important for some applications that rely on the table being a fixed size. Without a way to extend the number of elements at each position, however, an open-addressed hash table needs another way to resolve collisions.

Collision Resolution

Whereas chained hash tables have an inherent means of resolving collisions, open-addressed hash tables must handle them in a different way. The way to resolve collisions in an open-addressed hash table is to probe the table. To insert an element, for example, we probe positions until we find an unoccupied one, and insert the element there. To remove or look up an element, we probe positions until the element is located or until we encounter an unoccupied position. If we encounter an unoccupied position before finding the element, or if we end up traversing all of the positions, the element is not in the table.

Of course, the goal is to minimize how many probes we have to perform. Exactly how many positions we end up probing depends primarily on two things: the load factor of the hash table and the degree to which elements are distributed uniformly. Recall that the load factor of a hash table is α = n/m, where n is the number of elements and m is the number of positions into which the elements may be hashed. Notice that ...

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Publisher Resources

ISBN: 1565924533Errata Page