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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

mergesort


In the previous section, we tried to divide the array in such a way that when we sort each part, the entire array is sorted. We faced the problem that when we try to do that, the two parts are not equal in size causing the algorithm to sometimes take a quadratic amount of time. What if, instead of trying to divide the array in a way that sorting the parts would sort the whole, we just divide the array into two equal halves? Of course then, sorting the parts will not sort the entire array. However, if we have two array parts sorted on their own, can we merge them together to produce a sorted array as a whole? If we can do this efficiently enough, we would have an algorithm guaranteed to be efficient. As it turns out, it is possible. But we need to think about where the merged array will be stored. Since the values are being copied from the source array, the result needs to be stored in a separate place. So, we will need another storage of equal size for mergesort.

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Merge of sorted...

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Java 9 Data Structures and Algorithms
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