Binary Search Tree Java

Posted by ellen gomez on August 24th, 2017

A larger section of programming languages available today are either very slow to in complication or they take are not reliable enough to turn over to. Had it not for Java, it would not have been possible for a single complex programming language to both run hustle free and give maximum efficiency in their workspace. Java is the fastest known programming language with its high-end complication techniques and operation, but what makes it so fast is the search operations it applies in running a code.

A binary search tree is a rooted binary tree, whose internal nodes each store a key and each have two distinguished sub-trees, commonly denoted left and right. The tree additionally satisfies the binary search tree property, which states that the key in each node must be greater than or equal to any key stored in the left sub-tree, and less than or equal to any key stored in the right sub-tree. The leaves (final nodes) of the tree contain no key and have no structure to distinguish them from one another.

Generally, the information represented by each node is a record rather than a single data element. However, for sequencing purposes, nodes are compared according to their keys rather than any part of their associated records.

The major advantage of binary search trees over other data structures is that the related sorting algorithms and search algorithms such as in-order-traversal can be very efficient; they are also easy to code.

Binary search tree in Java is one such feature which makes the programming language fast than its other competitors. A binary search tree (BST), sometimes also called an ordered or sorted binary tree, is a node-based binary tree data structure which has the following properties:

i) The left subtree of a node contains only nodes with keys less than the node's key.

ii) The right subtree of a node contains only nodes with keys greater than the node's key.

iii) The left and right subtree must each also be a binary search tree.

iv) There must be no duplicate nodes.

Generally, the information represented by each node is a record rather than a single data element. However, for sequencing purposes, nodes are compared according to their keys rather than any part of their associated records. The major advantage of binary search trees over other data structures is that the related sorting algorithms and search algorithms such as in-order traversal can be very efficient. Binary search trees are a fundamental data structure used to construct more abstract data structures such as sets, multisets, and associative arrays.

Binary search tree is a systematic set of codes which enables a user to implement the desired operation without many complexities. This feature is unique in itself as it moves with zero redundancy and leaves very less scope of data duplication. The program run of binary search tree operates without any hustle and provide the results in most lesser time possible.

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ellen gomez

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ellen gomez
Joined: August 4th, 2017
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