Overview of this book

Data structures and algorithms are more than just theoretical concepts. They help you become familiar with computational methods for solving problems and writing logical code. Equipped with this knowledge, you can write efficient programs that run faster and use less memory. Hands-On Data Structures and Algorithms with Kotlin book starts with the basics of algorithms and data structures, helping you get to grips with the fundamentals and measure complexity. You'll then move on to exploring the basics of functional programming while getting used to thinking recursively. Packed with plenty of examples along the way, this book will help you grasp each concept easily. In addition to this, you'll get a clear understanding of how the data structures in Kotlin's collection framework work internally. By the end of this book, you will be able to apply the theory of data structures and algorithms to work out real-world problems.
Preface
Free Chapter
Section 1: Getting Started with Data Structures
A Walk Through - Data Structures and Algorithms
Arrays - First Step to Grouping Data
Section 2: Efficient Grouping of Data with Various Data Structures
Understanding Stacks and Queues
Maps - Working with Key-Value Pairs
Section 3: Algorithms and Efficiency
Deep-Dive into Searching Algorithms
Understanding Sorting Algorithms
Section 4: Modern and Advanced Data Structures
Collections and Data Operations in Kotlin
Introduction to Functional Programming
Other Books You May Enjoy
Assessments

Complexity analysis

So far, we've gained a good understanding of what an algorithm is and how data structures can be used in an algorithm to make it work better. In our day-to-day life, any task can be completed in many ways. Similarly, in computer science, any computational problem can be solved using many solutions; in other words, they can be solved using many algorithms. Since we've a one-to-many relationship with respect to the problem versus solutions, we might easily get confused while choosing a solution for a particular problem. This is the time for us to understand how to analyze an algorithm and choose the one that suits our problem.

Whenever we're trying to fix a particular computational problem, it's obvious that we'll consider all possible algorithms that can solve it. But we can't use them all together while writing our solution. In...