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. The most important criterion in writing an app is having it work correctly, according to specifications. This book takes you to the next step by showing how to get your programs to work efficiently as well as correctly. As we explore many data structures and the algorithms and applications associated with them, we focus on the trade-offs between speed and storage and the benefits of deploying concurrency when appropriate. We 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 we go further in this book. We present heuristic algorithms and their implementations for solving computationally intractable combinatoric optimization problems such as the travelling salesperson problem. Ant colony optimization and simulated annealing 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:Who is this for:This book is aimed at 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. weiterlesen