In this chapter, we learned about heap data structures. We examined the most common operations when working with heaps and their complexity cost. Following this we created our own simple min heap data structure class from scratch, and discussed how the min heap property formula is used to calculate parents or children for any given node index. Finally, we examined the most common applications for heap data structures.
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
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Current Title:
Everyday Data Structures
Table of Contents (20 chapters)
Everyday Data Structures
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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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