Data Structure and Basics of Algorithms

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Bol Data structure and Basics of Algorithms is a book designed to equip students, educators and aspiring individuals with a comprehensive understanding of the core principles that drive efficient problem-solving in the field of computer science. This book presents well-structured contents that bridges theoretical concepts of data structures and algorithms with practical applications in C++ programming language. Equipped with easy-to-understand lessons, illustrative examples, and hands - on exercises, this book aims to develop both conceptual clarity and practical coding skills. Structured to support learners from beginner to advanced levels, the book covers a wide spectrum of topics, including arrays, linked lists, stacks, queues, trees, graphs, searching and c, as well as complexity analysis. In addition to building coding proficiency, this book places a strong emphasis on developing algorithmic thinking-helping learners cultivate the ability to break down problems, recognize patterns, and design optimized, logical solutions. Whether used as a textbook for coursework or as a self-study guide for technical interviews and competitive programming, this book is a reliable and enriching resource for mastering the fundamentals of data structures and algorithms.

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Bol

Data structure and Basics of Algorithms is a book designed to equip students, educators and aspiring individuals with a comprehensive understanding of the core principles that drive efficient problem-solving in the field of computer science. This book presents well-structured contents that bridges theoretical concepts of data structures and algorithms with practical applications in C++ programming language. Equipped with easy-to-understand lessons, illustrative examples, and hands - on exercises, this book aims to develop both conceptual clarity and practical coding skills. Structured to support learners from beginner to advanced levels, the book covers a wide spectrum of topics, including arrays, linked lists, stacks, queues, trees, graphs, searching and c, as well as complexity analysis. In addition to building coding proficiency, this book places a strong emphasis on developing algorithmic thinking-helping learners cultivate the ability to break down problems, recognize patterns, and design optimized, logical solutions. Whether used as a textbook for coursework or as a self-study guide for technical interviews and competitive programming, this book is a reliable and enriching resource for mastering the fundamentals of data structures and algorithms.

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Pages: 480, Paperback, Academic Enclave


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Merk Academic Enclave
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  • 9789348642400
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