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Java 9 Data Structures and Algorithms

You're reading from Java 9 Data Structures and Algorithms A step-by-step guide to data structures and algorithms

Product type Paperback

Published in Apr 2017

Publisher Packt

ISBN-13 9781785889349

Length 340 pages

Edition 1st Edition

Languages

Java

Concepts

Data Structures and Algorithms

Author (1):

Debasish Ray Chawdhuri

View More author details

Table of Contents (13) Chapters

Preface

1. Why Bother? – Basic FREE CHAPTER

2. Cogs and Pulleys – Building Blocks

3. Protocols – Abstract Data Types

4. Detour – Functional Programming

5. Efficient Searching – Binary Search and Sorting

6. Efficient Sorting – quicksort and mergesort

7. Concepts of Tree

8. More About Search – Search Trees and Hash Tables

9. Advanced General Purpose Data Structures

10. Concepts of Graph

11. Reactive Programming

Index

Summary

In this chapter, we learned how to do advanced thread synchronization using volatile fields, atomic operations, and semaphores. We used these to create our own reactive programming framework and also created a functional API for reactive programming. We used our frameworks to solve sample problems and saw how multithreaded scalable apps can be written easily with a reactive framework.

There are many reactive programming frameworks available, such as RxJava, Akka, and many more. They are slightly different in their implementation and features. They all provide a lot more features than the one we used. This chapter is just an introduction to the topic; interested readers can learn more about reactive programming from the books dedicated to this subject.

In this book, I tried to give you a head start in the world of algorithms, with implementations in Java. Algorithms are a vast field of study. Every computation problem needs to be solved by an algorithm. A further study would include...

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Authors (1)

Ray Chawdhuri

Ray Chawdhuri

Debasish Ray Chawdhuri is an established Java developer and has been in the industry for the last eight years. He has developed several systems, from CRUD applications to programming languages and big data processing systems. He provided the first implementation of an extensible business reporting language specification, and a product around it, to verify company financial data for the Government of India while he was employed at Tata Consultancy Services Ltd. In Talentica Software Pvt. Ltd., he implemented a domain-specific programming language to easily implement complex data aggregation computations that compiled to Java bytecode. Currently, he leads a team developing a new high-performance structured data storage framework to be processed by Spark. The framework is named Hungry Hippos and will be open-sourced very soon. He also blogs at http://www.geekyarticles.com/ about Java and other computer science-related topics. He has worked for Tata Consultancy Services Ltd., Oracle India Pvt. Ltd., and Talentica Software Pvt. Ltd.

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