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8 - Constant-Time Lowest Common Ancestor Retrieval

from II - Suffix Trees and Their Uses

Published online by Cambridge University Press:  23 June 2010

Dan Gusfield
Affiliation:
University of California, Davis
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Summary

Introduction

We now begin the discussion of an amazing result that greatly extends the usefulness of suffix trees (in addition to many other applications).

Definition In a rooted tree T, a node u is an ancestor of a node v if u is on the unique path from the root to v. With this definition a node is an ancestor of itself. A proper ancestor of v refers to an ancestor that is not v.

Definition In a rooted tree T, the lowest common ancestor (lca) of two nodes x and y is the deepest node in T that is an ancestor of both x and y.

For example, in Figure 8.1 the lca of nodes 6 and 10 is node 5 while the lca of 6 and 3 is 1.

The amazing result is that after a linear amount of preprocessing of a rooted tree, any two nodes can then be specified and their lowest common ancestor found in constant time. That is, a rooted tree with n nodes is first preprocessed in O(n) time, and thereafter any lowest common ancestor query takes only constant time to solve, independent of n. Without preprocessing, the best worst-case time bound for a single query is Θ(n), so this is a most surprising and useful result. The lca result was first obtained by Harel and Tarjan [214] and later simplified by Schieber and Vishkin [393]. The exposition here is based on the later approach.

Type
Chapter
Information
Algorithms on Strings, Trees and Sequences
Computer Science and Computational Biology
, pp. 181 - 195
Publisher: Cambridge University Press
Print publication year: 1997

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