Generic Data Structures and Algorithms in Go: An Applied Approach Using Concurrency, Genericity and Heuristics

Richard Wiener

ISBN 10: 148428190X / ISBN 13: 9781484281901

Published by Apress, 2022

About this Item

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABNR-209209

Bibliographic Details

• Title: Generic Data Structures and Algorithms in Go: An Applied Approach Using Concurrency, Genericity and Heuristics
• Publisher: Apress
• Publication Date: 2022
• Language: English
• ISBN 10: 148428190X
• ISBN 13: 9781484281901
• Binding: Soft cover
• Edition: International Edition
• Condition: New

About this title

Synopsis

Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency. You are invited on a journey that aims to improve your programming and problem-solving skills. This book takes you to the next step by showing how to get your programs to work efficiently as well as correctly. 

As you explore many data structures and the algorithms and applications associated with them, you'll focus on the trade-offs between speed and storage and the benefits of deploying concurrency when appropriate. This book will demonstrate the huge increases in application performance that are possible. The presentation of classic data structures and techniques of algorithm design (greedy, divide and conquer, branch-and-bound to name a few) provides an essential foundation and toolkit for problem solving. But this book goes further by presenting heuristic algorithms and their implementations forsolving computationally intractable combinatoric optimization problems such as the travelling salesperson problem. Simulated annealing and genetic algorithms are among the techniques used.

The consistent style of coding used throughout this book exploits Go’s ability to implement abstract, generic and constrained generic data types without the use of classes.  Although some familiarity with Go is assumed, this book should advance your ability to use Go to tackle server-side applications, games, machine learning, information retrieval and other application domains where speed and storage efficiency is essential.

What You'll Learn

• Explore classical data structures and algorithms aimed at making your applications run faster or require less storage
• Use the new generic features of Go to build reusable data structures
• Utilize concurrency for maximizing application performance
• See the power of heuristic algorithms for computationally intractable problems
• Enhance and improve your Go programming skills

Who This Book Is For

Practicing Go software developers and students who wish to advance their programming and problem-solving skills and experience the excitement and see the benefits of using generic data structures and algorithms that utilize concurrency whenever possible.

About the Author

Richard Wiener, Ph.D. authored or co-authored 22 professional, software development and computer-science textbooks published by Wiley, Addison-Wesley, Prentice-Hall, Cambridge University Press and Thompson.  Served as founding Editor-in-Chief of the Journal of Object-Oriented Programming for 12 years and later, founding Editor-in-Chief of the Journal of Object Technology for 9 years.  Worked as Associate Professor of Computer Science at the University of Colorado, Colorado Springs (UCCS) from 1977-2012.  Served as Department Chair during last four years at UCCS. Served as consultant and software developer for IBM, HP, Boeing, Textronix, DEC and many other companies.  Presented industry short-courses all over the world from 1980 to 2006. Earned BS and MS in Electrical Engineering from City University of New York and Ph.D. from Polytechnic Institute of New York.