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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

Binomial forest


A binomial forest is a very interesting data structure. But, to discuss it, we need to first start with a binomial tree. A binomial tree is a tree in which a combination of two smaller binomial trees of the same size are combined in a particular way:

Binomial tree

The preceding figure shows how binomial trees combine to create larger binomial trees. In the first row, two binomial trees of height 1 combine to create a new binomial tree of height 2. In the second row, two binomial trees of height 2 combine to create a new binomial tree of height 3. In the final example, two binomial trees of height 3 combine to create a binomial tree of height 4, and it continues. The two trees that are combined together are not treated symmetrically. Instead, the root of one becomes the parent of the other. The next figure shows one more step in the sequence and then shows a different way to look at a binomial tree. In the last row, I have highlighted the subtrees differently. Notice how:

Figure...

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