Название: Data Structures and AlgorithmsАвтор: Shubham Gupta
Издательство: Toronto Academic Press
Год: 2024
Страниц: 241
Язык: английский
Формат: pdf (true)
Размер: 124.8 MB
This book introduces the fundamental concepts of data structures and algorithms. It covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and hashing. The book is written to help students and professionals in computer science and programming understand how to use data structures and algorithms to solve complex problems efficiently. Whether you are a beginner or an experienced programmer, this book provides valuable insights into the world of data structures and algorithms.
Data structures are specialized formats for organizing, storing, and manipulating data in computer programs. There are several types of data structures, including arrays, linked lists, stacks, queues, and trees. Algorithms are a set of instructions or procedures that are designed to solve a specific computation problem.
In today’s fast-paced digital age, efficient data management is more critical than ever before. As the amount of data being generated and processed increases exponentially, the need for powerful algorithms and data structures becomes increasingly pressing. Data structures and algorithms are important concepts in computer science, and their understanding is crucial for building efficient and scalable software systems. A good understanding of data structures and algorithms can help software developers to design efficient programs, optimize code performance and solve complex computational problems.
The discussion of the book starts with the fundamentals of data structures and algorithms, followed by the classification of algorithms used in data structures. Also, the concept of arrays and sets used in data structures and the selection of algorithms are described in detail in this book. The fundamental concept of two very important data structures, stacks, and queues, is also explained in detail. Another important data structure known as a tree, which consists of nodes connected by edges, is described in the book.
The fundamental search algorithms that are used to locate an element within the structure are also part of this book. Lastly, the governance of algorithms and limitations of governance options are described in detail at the end of this book.
This book comprises eight chapters; the first chapter discusses the fundamentals of data structures and algorithms with emphasis on the need for data structures, issues addressed by algorithms, and the benefits and drawbacks of data structures. The second chapter deals with the classification of algorithms and provides insight into the differences between them.
The third chapter is about the analysis of two important data structures, arrays, and sets, and describes the temporal complexity of various arrays and set operations. The fourth chapter discusses the process or flows for the selection of a suitable algorithm.
The fifth chapter describes the concept of stacks and queues in data structures, along with the implementation of these concepts using arrays and linked lists. After reviewing what stacks are used for, examine how they are implemented in C++. The sixth chapter deals with the concepts of trees, basic binary operations, and the efficiency of binary trees. The seventh chapter is about search algorithms that are used in the data structure to find an element inside the structure, and the eighth chapter is about the governance of algorithms and the limitations of governance options.
This book has been written specifically for students and scholars to meet their needs in terms of knowledge and to provide them with a broad understanding of data structures and algorithms. We aim for this book to be a resource for academics in many subjects since we believe it will provide clarity and insight for its readers.
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