Description:

Design and Analysis of Algorithms: Problems with Solutions is a uniquely crafted text that places problem-solving at its core, offering readers solutions and the reasoning behind algorithmic strategies. Unlike conventional texts emphasizing theoretical exposition, this book adopts a problem-centric approach, ensuring learners understand the how and the why of algorithm design and analysis. A distinguishing feature of the book is its comprehensive coverage of design strategies, including brute force technique, divide-and-conquer, dynamic programming, greedy technique, backtracking, branch and bound, and approximation techniques—each reinforced with real-world relevance to demonstrate practical utility. Every chapter is enriched with a rich base of worked examples and illustrations, going beyond standard explanations to provide learners with intuitive insights.

Designed for active learning, this text blends theory, practice, and problem-solving into an engaging structure supporting computer science and engineering students, educators, and professionals. Combining clarity, depth, and real-world applications provides a competitive edge over established texts in the field.

KEY FEATURES

• Integrates step-by-step algorithm tracing to strengthen conceptual clarity.

• 300+ fully solved problems enable students to visualize algorithmic execution and internalize problem-solving mechanics.

• Includes 150+ real-time case studies for application-driven learning.

• 200+ unsolved exercises systematically arranged from basic to advanced levels for practice.

• Test Your Skills section with 900+ questions and solutions for self-assessment.

• Appendix to introduce machine learning through illustrative case studies.

• B.Tech Computer Science and IT

• M.Tech Computer Science and IT

• MCA/M.Sc. Computer Science