LYCOS RETRIEVER 
Tree Data Structure
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The simplest solution is to serialize access to the data structure. In other words, if another process is using the tree, all other processes must wait. Although this is feasible in many cases, it can place an unecessary and costly limit on performance because many operations actually can be performed concurrently without risk. Locking, introduced by Gray and refined by many others, provides a mechanism for controlling concurrent operations on data structures in order to prevent undesirable side effects and to ensure consistency. For a detailed discussion of this and other concurrency control mechanisms, please refer to the references below.
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The sort of analysis described here is called asymptotic analysis, as it examines how the efficiency of a data structure changes as the data structure's size approaches infinity. The notation commonly used in asymptotic analysis is called big-Oh notation. The big-Oh notation to describe the performance of searching an array would be denoted as O(n). The large script O is where the terminology big-Oh notation comes from, and the n indicates that the number of steps required to search an array grows linearly as the size of the array grows.
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In this lecture, several trees data structures, namely binary trees, balanced binary trees and binary search trees will be considered. Then operations such as searching, insertion, deletion, traversal and merging are inspected in terms of algorithm design and their implementation in Java.
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In computer science, a ternary search tree (trie,TST) is a ternary (three-way) tree data structure which combines the time efficiency of digital tries with the space efficiency of binary search trees. The resulting structure is faster than hashing for many typical search problems, and supports a broader range of useful problems and operations.
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This program implements a derivative of BK-Tree data structure described in "Some Approaches to Best-Match File Searching" paper of W. A. Burkhard and R. M. Keller. For more information about the paper, see
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This section describes the primary JSP tags and how they relate to the classes which define the underlying data structure representing the tree. All of the tree features are available both in the tree tags as well as the underlying tree classes (described below).
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Tree Data Structure