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Java 9 Data Structures and Algorithms

You're reading from   Java 9 Data Structures and Algorithms A step-by-step guide to data structures and algorithms

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889349
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Debasish Ray Chawdhuri Debasish Ray Chawdhuri
Author Profile Icon Debasish Ray Chawdhuri
Debasish Ray Chawdhuri
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Toc

Table of Contents (13) Chapters Close

Preface 1. Why Bother? – Basic FREE CHAPTER 2. Cogs and Pulleys – Building Blocks 3. Protocols – Abstract Data Types 4. Detour – Functional Programming 5. Efficient Searching – Binary Search and Sorting 6. Efficient Sorting – quicksort and mergesort 7. Concepts of Tree 8. More About Search – Search Trees and Hash Tables 9. Advanced General Purpose Data Structures 10. Concepts of Graph 11. Reactive Programming Index

Red-black tree


An AVL tree guarantees logarithmic insertion, deletion, and search. But it makes a lot of rotations. In most applications, insertions are randomly ordered and so are deletions. So, the trees would sort of balance out eventually. However, since the AVL tree is too quick to rotate, it may make very frequent rotations in opposite directions even when it would be unnecessary, had it been waiting for the future values to be inserted. This can be avoided using a different approach: knowing when to rotate a subtree. This approach is called a red-black tree.

In a red-black tree, the nodes have a color, either black or red. The colors can be switched during the operations on the node, but they have to follow these conditions:

  • The root has to be black

  • A red node cannot have a black child

  • The black height of any subtree rooted by any node is equal to the black height of the subtree rooted by the sibling node

Now what is the black height of a subtree? It is the number of black nodes found...

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