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Java Coding Problems - Second Edition

You're reading from  Java Coding Problems - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781837633944
Pages 798 pages
Edition 2nd Edition
Languages
Author (1):
Anghel Leonard Anghel Leonard
Profile icon Anghel Leonard

Table of Contents (16) Chapters

Preface 1. Text Blocks, Locales, Numbers, and Math 2. Objects, Immutability, Switch Expressions, and Pattern Matching 3. Working with Date and Time 4. Records and Record Patterns 5. Arrays, Collections, and Data Structures 6. Java I/O: Context-Specific Deserialization Filters 7. Foreign (Function) Memory API 8. Sealed and Hidden Classes 9. Functional Style Programming – Extending APIs 10. Concurrency – Virtual Threads and Structured Concurrency 11. Concurrency ‒ Virtual Threads and Structured Concurrency: Diving Deeper 12. Garbage Collectors and Dynamic CDS Archives 13. Socket API and Simple Web Server 14. Other Books You May Enjoy
15. Index

124. Introducing the Fibonacci Heap data structure

A Fibonacci Heap is a flavor of Binomial Heap with excellent performance in amortized time for operations such as insert, extract minimum, and merge. It is an optimal choice for implementing priority queues. A Fibonacci Heap is made of trees, and each tree has a single root and multiple children arranged in a heap-ordered fashion. The root node with the smallest key is always placed at the beginning of the list of trees.

It is called a Fibonacci Heap because each tree of order k has at least Fk+2 nodes, where Fk+2 is the (k+2)th Fibonacci number.

In the following figure, you can see a Fibonacci Heap sample:

Figure 5.39.png

Figure 5.39: Fibonacci Heap sample

The main operations in a Fibonacci Heap are (Big O represents the amortized time): insert (O(1)), decrease key (O(1)), find the minimum (O(1)), extract minimum (O(log n)), deletion (O(log n)), and merge (O(1)). You can find an implementation of these operations in the bundled...

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