Data Structures Algorithms and Invariants

<p><em style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)>Data Structures Algorithms and Invariants: A Practical Guide</em><span style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)> 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.</span></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)>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.</span></p><p></p><p><em style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)>Data Structures Algorithms and Invariants</em><span style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)> is an ideal textbook for data structure and algorithms courses in information science data science and programming.</span></p>