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Everyday data structures

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

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787121041
Length 344 pages
Edition 1st Edition
Languages
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Author (1):
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William Smith William Smith
Author Profile Icon William Smith
William Smith
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Table of Contents (14) Chapters Close

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

Chapter 4. Stacks: LIFO Collections

A stack is an abstract data structure that serves as a collection of objects that are inserted and removed based on a last-in first-out (LIFO) principle. Accordingly, the two operations that most clearly define a stack structure are push, which adds objects to the collection, and pop, which removes objects from the collection. Other common operations include peek, clear, count, empty and full, all of which will be examined in the Advanced topics section later in this chapter.

Stacks can be either array-based or linked list-based. And, similar to linked lists, stacks can be either sorted or unsorted. Considering the structure of a linked list, a linked list-based stack will be more efficient for sorting operations than an array-based stack.

A stack data structure is well suited for any application that requires the ability to add and remove objects only from the tail of a list. A good example of this is backtracking along a specified path or series...

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