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Everyday data structures

You're reading from Everyday data structures A practical guide to learning data structures simply and easily

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787121041

Length 344 pages

Edition 1st Edition

Languages

Java

Concepts

Data Structures and Algorithms

Author (1):

William Smith

View More author details

Table of Contents (14) Chapters

Preface

1. Data Types: Foundational Structures FREE CHAPTER

2. Arrays: Foundational Collections

3. Lists: Linear Collections

4. Stacks: LIFO Collections

5. Queues: FIFO Collections

6. Dictionaries: Keyed Collections

7. Sets: No Duplicates

8. Structs: Complex Types

9. Trees: Non-Linear Structures

10. Heaps: Ordered Trees

11. Graphs: Values with Relationships

12. Sorting: Bringing Order Out Of Chaos

13. Searching: Finding What You Need

Instantiating heaps

Since heaps are a form of tree data structure, it is unsurprising that we will not find a native concrete implementation in the languages we are discussing. However, the heap data structure is actually quite simple to implement. Therefore, we are going to build our own heap structure, specifically a min heap.

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Authors (1)

Smith

Smith

William Smith has been writing software since 1988, but he began his professional career in the environmental field with degrees in Environmental Science and Business Administration. While working in this field, William continued writing software as a hobbyist before returning to the University of Maryland for a degree in Computer Science. William currently works as an independent software engineer and author. He is the owner of Appsmiths LLC, a development and consulting firm concentrating on mobile application and game development using native tools as well as cross-platform tools, such as Xamarin and Monogame. William lives in rural West Virginia with his beautiful wife and four sons, where they enjoy hunting, fishing, and camping as a family.

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