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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

Index

A

adjacency-list-based graph
- operations, complexity / Complexity of operations in an adjacency-list-based graph
- with dense storage for vertices / Adjacency-list-based graph with dense storage for vertices
- with dense storage for vertices, operations complexity / Complexity of the operations of an adjacency-list-based graph with dense storage for vertices
adjacency-matrix-based graph
- about / More space-efficient adjacency-matrix-based graph
adjacency list
- about / Adjacency list
adjacency matrix
- about / Adjacency matrix
- sparse adjacency matrix graph, operations complexity / Complexity of operations in a sparse adjacency matrix graph
aggregation operation
- about / Map for a linked list
algorithm
- performance / The performance of an algorithm
- best case, complexity / Best case, worst case and the average case complexity
- worst case, complexity / Best case, worst case and the average case complexity
- average case, complexity / Best case...

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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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