In this chapter we learned about tree data structures, and how they differ from tree data types. We took the time to examine the terminology associated with trees including a visual representation of tree data structures. Next we evaluated the most common operations when working with trees and their complexity cost. Following this we created our own simple binary tree data structure class from scratch, and discussed how the recursive operations are used to traverse the tree. We examined the meaning of recursion and how to write recursive functions of your own using the Fibonacci sequence as an example of this process. Finally, we examined the various ways that tree data structures can be traversed depending on how the nodes in the tree are related to one another.
Everyday Data Structures
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Everyday Data Structures
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Overview of this book
Explore a new world of data structures and their applications easily with this data structures book. Written by software expert William Smith, you?ll learn how to master basic and advanced data structure concepts. ? Fully understand data structures using Java, C and other common languages ? Work through practical examples and learn real-world applications ? Get to grips with data structure problem solving using case studies
Table of Contents (20 chapters)
Everyday Data Structures
Credits
About the Author
About the Reviewer
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Preface
Free Chapter
Data Types: Foundational Structures
Arrays: Foundational Collections
Lists: Linear Collections
Stacks: LIFO Collections
Queues: FIFO Collections
Dictionaries: Keyed Collections
Sets: No Duplicates
Structs: Complex Types
Trees: Non-Linear Structures
Heaps: Ordered Trees
Graphs: Values with Relationships
Sorting: Bringing Order Out Of Chaos
Searching: Finding What You Need
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