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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

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889349
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Debasish Ray Chawdhuri Debasish Ray Chawdhuri
Author Profile Icon Debasish Ray Chawdhuri
Debasish Ray Chawdhuri
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Toc

Table of Contents (13) Chapters Close

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

Functional way of reactive programming

Most reactive programming frameworks provide functional APIs for reactive programming, which makes it even easier to work with. In this section, we will build a functional reactive API and solve a problem with it. The idea is to use the concept of a stream. A stream is a data generator or source that can provide input when requested. Functional APIs provide map, filter, and consume operations on the stream. The map and the filter operations create a new stream, and the consume operation gives a EventConsumer instance. The idea is that when EventConsumer is asked to start processing, it would spawn its own producer threads and consumer threads and treat each map, filter, or consume operations as a separately scheduled operation in a producer-consumer queue. This is just to highlight what we are really trying to achieve.

For example, I will put the code to use the functional API to solve the same perfect number problem. We will replace the pseudo-method...

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