Название: Advanced Data Structures and Algorithms: Learn how to enhance data processing with more complex and advanced data structures
Автор: Abirami A., Priya R.L.
Издательство: BPB Publications
Год: 2023
Страниц: 214
Язык: английский
Формат: pdf, epub (true)
Размер: 10.2 MB

Solve complex problems by performing analysis of algorithms or selecting suitable techniques for optimal performance.

Description:
“Advanced Data Structures and Algorithms” is an important subject area in Computer Science that covers more complex and advanced topics related to data structures and algorithms.

This book will teach you how to analyze algorithms to handle the difficulties of sophisticated programming. It will then help you understand how advanced data structures are used to store and manage data efficiently. Moving on, it will help you explore and work with Divide and Conquer techniques, Dynamic programming, and Greedy algorithms. Lastly, the book will focus on various String Matching Algorithms such as naïve string matching algorithms, Knuth–Morris–Pratt (KMP) Algorithm, and Rabin-Karp Algorithm.

This book covers a collection of complex algorithms and helps to face the challenges in algorithmic analysis. Analysis of algorithms and handling sophisticated data structures focus on the fundamentals of the computer programming field. The book highlights how to find the best optimal solution to a real-world problem using an appropriate algorithm. The book provides theoretical explanations and solved examples of most of the topics covered.

This book also introduces the importance of performance analysis of an algorithm, which helps to increase efficiency and reduces time and space complexity. It shows how to create and design a complex data structure. This book solves the basic understanding of greedy and dynamic programming. It also gives importance to various divide-and-conquer techniques. This book gives information about string-matching methods as well.

This book is divided into six chapters. The reader will go through advanced data structures, greedy and dynamic programming, optimal solutions, string matching using various techniques, and calculations of time and space complexity using Asymptotic notations. To help learners better comprehend the material, each topic is handled with appropriate examples.

By the end of the book, you will be able to analyze various algorithms with time and space complexity to choose the best suitable algorithms for a given problem.

What you will learn:
- Understand how to examine an algorithm's time and space complexity.
- Explore complex data structures like AVL tree, Huffman coding, and many more.
- Learn how to solve larger problems using Divide and Conquer techniques.
- Identify the most optimal solution using Greedy and Dynamic Programming.

Who this book is for:
This book is aligned with the curriculum of the Computer Engineering program offered by Mumbai University. The book is designed not only for Computer Engineering and Information Technology students but also for anyone who wants to learn about advanced data structures and analysis of algorithms.