- What is the order of complexity of bubble sort?
- Which sorting algorithm takes one element at a time to create a final sorted collection?
- What sorting method sorts pairs of elements that are far apart from each other?
- What is the complexity of using the merge sort algorithm?
- Which is better: the quick, merge, or heap sort algorithm?
- What are the different types of search algorithms?
- Provide a code example of the recursion algorithm.
- Who was the first person to describe the interpolation search?
- Which sorting algorithm is based on a comparison-based method of an adjacent list of elements?
- Who was the person to publish the shell sort algorithm?
Learn Data Structures and Algorithms with Golang
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Learn Data Structures and Algorithms with Golang
By:
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)
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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