Data Structures, Algorithms, and Invariants - A Practical Guide
Robin Hillyard
ISBN 10: 1793588848 ISBN 13: 9781793588845
Editore: John Wiley and Sons, 2024
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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.
Informazioni sull?autore: 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.
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Titolo: Data Structures, Algorithms, and Invariants ...
Casa editrice: John Wiley and Sons
Data di pubblicazione: 2024
Legatura: PAP
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Paperback. Condizione: new. 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. Discover practical strategies for selecting and applying abstract data typeslist, tree, and graph structuresto tackle software challenges. The guide explores computational complexity, sorting, and order analysis, enhanced by interactive examples, review questions, and hands-on code to bridge theory with practice. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781793588845
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Data Structures, Algorithms, and Invariants : A Practical Guide
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9781793588845
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ISBN 13: 9781793588845
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