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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 2. Arrays: Foundational Collections FREE CHAPTER 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

Recursion


Although many programmers and even computer science students have a difficult time understanding recursion, the concept is actually quite simple. Plainly stated, recursion is repeatedly performing the same operation by having the method of that operation invoke itself. Therefore, any function that calls an instance of itself is a recursive function. As a matter of fact, if a function f() calls another function g() which in turn may call function f() again, this is still a recursive function because f() eventually calls itself. Recursion is an excellent tool for solving complex problems where the solution to the problem is based on the solution to smaller examples of the same problem.

The concept of recursion, or recursive functions, is so powerful that almost every modern computer language supports it by providing the ability for a method to call itself. However, before you define a recursive function, you should be aware any function that calls itself could very easily become an...

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