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<b>Data Structures and Algorithms 
with Object-Oriented Design Patterns in C++</b><br>
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<H1><A NAME="SECTION0011100000000000000000">Basics</A></H1>
<P>
A tree which supports efficient search, insertion, and withdrawal
operations is called a <em>search tree</em><A NAME=18706>&#160;</A>.
In this context the tree is used to store a finite set of keys
drawn from a totally ordered set of keys <I>K</I>.
Each node of the tree contains one or more keys
and all the keys in the tree are unique,
i.e., no duplicate keys are permitted.
<P>
What makes a tree into a search tree is that the keys
do not appear in arbitrary nodes of the tree.
Instead, there is a
<em>data ordering criterion</em>
which determines where a given key may appear in the tree
in relation to the other keys in that tree.
The following sections present two related types of search trees,
<I>M</I>-way search trees and binary search trees.
<P>
<BR> <HR>
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<LI> <A NAME="tex2html5642" HREF="page302.html#SECTION0011120000000000000000" tppabs="http://dictator.uwaterloo.ca/Bruno.Preiss/books/opus4/html/page302.html#SECTION0011120000000000000000">Binary Search Trees</A>
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