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Learning JavaScript Data Structures and Algorithms

You're reading from   Learning JavaScript Data Structures and Algorithms JavaScript Data Structures and algorithms can help you solve complex development problems – learn how by exploring a huge range of JavaScript data types

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Product type Paperback
Published in Oct 2014
Publisher Packt
ISBN-13 9781783554874
Length 218 pages
Edition 1st Edition
Languages
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Author (1):
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Loiane Avancini Loiane Avancini
Author Profile Icon Loiane Avancini
Loiane Avancini
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Toc

More about binary trees


Now that you know how to work with BST, you can dive into the study of trees if you would like to.

BST has an problem: depending on how many nodes you add, one of the edges of tree can be very deep, meaning a branch of the tree can have a high level, and another branch can have a low level, as shown in the following diagram:

This can cause performance issues when adding, removing, and searching for a node on a particular edge of the tree. For this reason, there is a tree called Adelson-Velskii and Landis' tree (AVL tree). The AVL tree is a self-balancing BST tree, which means the height of both the left and right subtree of any node differs by 1 at most. This means the tree will try to become a complete tree whenever possible while adding or removing a node.

We will not cover AVL trees in this book, but you can find its source code inside the chapter08 folder of this book's source code and take a look at it there.

Note

Another tree that you should also learn about is the...

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