Book Image

Learn Data Structures and Algorithms with Golang

By : Bhagvan Kommadi
Book Image

Learn Data Structures and Algorithms with Golang

By: Bhagvan Kommadi

Overview of this book

Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer.
Table of Contents (16 chapters)
Free Chapter
1
Section 1: Introduction to Data Structures and Algorithms and the Go Language
4
Section 2: Basic Data Structures and Algorithms using Go
11
Section 3: Advanced Data Structures and Algorithms using Go

Searching

Search algorithms are used to retrieve information that's stored in a data source or a collection. The algorithm is given the key of the element in question, and the associated value will be found. Search algorithms return a true or a false Boolean value based on the availability of the information. They can be enhanced to display multiple values related to the search criteria. Different types of search algorithms include linear, binary, and interpolation. These algorithms are categorized by the type of search. Search algorithms include brute force and heuristic methods. The algorithms are chosen for their efficiency. Different factors for choosing these algorithms are as follows:

  • Input type
  • Output type
  • Definiteness
  • Correctness
  • Finiteness
  • Effectiveness
  • Generality

In this section, we will discuss the different types of search algorithms.

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