Data Structures, Algorithms, and Invariants (Paperback)

Robin Hillyard

ISBN 10: 1793588848 / ISBN 13: 9781793588845

Published by Cognella, Inc, San Diego, 2024

About this Item

Paperback. Data Structures, Algorithms, and Invariants: A Practical Guide provides students with the knowledge and understanding they need to make sensible decisions regarding the choice of an abstract data type (ADT) for particular use cases. The book is a practical guide that helps readers with the process of building a software application utilizing a variety of list-based, tree-based, and graph-based ADTs.The opening chapters discuss solving problems, the concept of computational complexity, different types of ADTs, and why they are needed in software development. Additional chapters address unordered, positional, and ordered ADTs, the process of sorting, ways of determining order, and graphs. Each chapter features an introduction, learning objectives, key terms, takeaways, QR codes that link out to additional content such as videos, and chapter review questions to support the reading and learning experience. Additionally, students gain access to a companion source code repository that provides implementations of many of the ADTs.Data Structures, Algorithms, and Invariants is an ideal textbook for data structure and algorithms courses in information science, data science, and programming. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9781793588845

Bibliographic Details

• Title: Data Structures, Algorithms, and Invariants (Paperback)
• Publisher: Cognella, Inc, San Diego
• Publication Date: 2024
• Language: English
• ISBN 10: 1793588848
• ISBN 13: 9781793588845
• Binding: Paperback
• Condition: new

About this title

Synopsis

Data Structures, Algorithms, and Invariants: A Practical Guide provides students with the knowledge and understanding they need to make sensible decisions regarding the choice of an abstract data type (ADT) for particular use cases. The book is a practical guide that helps readers with the process of building a software application utilizing a variety of list-based, tree-based, and graph-based ADTs.

The opening chapters discuss solving problems, the concept of computational complexity, different types of ADTs, and why they are needed in software development. Additional chapters address unordered, positional, and ordered ADTs, the process of sorting, ways of determining order, and graphs. Each chapter features an introduction, learning objectives, key terms, takeaways, QR codes that link out to additional content such as videos, and chapter review questions to support the reading and learning experience. Additionally, students gain access to a companion source code repository that provides implementations of many of the ADTs.

Data Structures, Algorithms, and Invariants is an ideal textbook for data structure and algorithms courses in information science, data science, and programming.

About the Author

Robin Hillyard is an associate teaching professor in the College of Engineering at Northeastern University. He has been a software innovator, developer, manager, and architect over a long career, having written his first program in 1968. Dr. Hillyard holds an undergraduate degree in engineering science from University College, Oxford, with a specialization in control engineering, and a Ph.D. in computer science from the University of Cambridge. His research focuses on sorting algorithms, genetic algorithms, anonymization, cryptography, and blockchain.