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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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 Smith Smith
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Smith
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Table of Contents (20) Chapters Close

Everyday Data Structures
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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

Advanced topics - stack implementations


Now that we have seen how stacks are used in common practice, lets examine the different types of stack implementation you may encounter. The two most common implementations are the array-based stack and the linked list-based stack. We will examine each of these here.

Array-based stack

An array-based stack utilizes a mutable array to represent the collection. In this implementation, the 0 position in the array represents the bottom of the stack. Therefore, array[0] is the first object pushed onto the stack and the last one popped off. Array-based structures are not practical for a sorted stack as any reorganizing of the structure would require significantly more operational cost than that of a list-based stack. The Tower of Hanoi puzzle is the quintessential example of sorting am array-based stack, with an operational cost of O(2n ), where n is the number of plates on the starting tower. The Tower of Hanoi puzzle will be examined in more detail in Chapter...

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