- What is 2-mode unfolding of a tensor array?
- Write a two-dimensional array of strings and initialize it. Print the strings.
- Give an example of a multi-dimensional array and traverse through it.
- For a 3 x 3 matrix, write code that calculates the determinant of the matrix.
- What is a transpose of a 3 x 3 matrix?
- What is a zig-zag matrix?
- Write code with an example of a spiral matrix.
- Which dimension is typically unfolded for tensor arrays?
- How do you define a Boolean matrix?
- Choose two 3 x 3 matrices and find the product of the matrices.

#### Learn Data Structures and Algorithms with Golang

##### By :

#### 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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