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Java 9 Data Structures and Algorithms

Java 9 Data Structures and Algorithms

By : Ray Chawdhuri
2.3 (3)
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Java 9 Data Structures and Algorithms

Java 9 Data Structures and Algorithms

2.3 (3)
By: Ray Chawdhuri

Overview of this book

Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we’ll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!
Table of Contents (13 chapters)
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12
Index

Summary


In this chapter, we discussed priority queues and their implementation. Priority queues are important data structures that are used in a lot of problems. We saw two implementations of a priority queue, a heap, and a binomial forest. We also saw how to use priority queues for sorting, which is asymptotically optimal. A variation of this allowed us to sort an array in place using an array-based heap.

In the next chapter, we will discuss the concept of graphs, which are very useful, almost ubiquitous ADTs, and data structures that are used in many real-life applications.

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