#### 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.
Preface
Free Chapter
Section 1: Introduction to Data Structures and Algorithms and the Go Language
Data Structures and Algorithms
Getting Started with Go for Data Structures and Algorithms
Section 2: Basic Data Structures and Algorithms using Go
Linear Data Structures
Non-Linear Data Structures
Homogeneous Data Structures
Heterogeneous Data Structures
Dynamic Data Structures
Classic Algorithms
Section 3: Advanced Data Structures and Algorithms using Go
Network and Sparse Matrix Representation
Memory Management
Next Steps
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# Brute force algorithms

A brute force algorithm solves a problem based on the statement and the problem definition. Brute force algorithms for search and sort are sequential search and selection sort. Exhaustive search is another brute force algorithm where the solution is in a set of candidate solutions with definitive properties. The space in which the search happens is a state and combinatorial space, which consists of permutations, combinations, or subsets.

Brute Force algorithms are known for wide applicability and simplicity in solving complex problems. Searching, string matching, and matrix multiplication are some scenarios where they are used. Single computational tasks can be solved using brute force algorithms. They do not provide efficient algorithms. The algorithms are slow and non-performant. Representation of a brute force algorithm is shown in the following code...