Introduction to the Design and Analysis of Algorithms 3rd Edition by Anany Levitin (Author)
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 53030
- Number of Pages: 600
Rs.1,200.00
Rs.1,595.00
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"Introduction to the Design and Analysis of Algorithms" by Anany Levitin presents a comprehensive exploration of the fundamental principles underlying the design, analysis, and implementation of algorithms. Now in its 3rd edition, this seminal textbook continues to be a vital resource for students and professionals in computer science and related fields. Anany Levitin, a renowned expert in algorithmic theory, offers clear explanations and illustrative examples to guide readers through the intricacies of algorithmic problem-solving.
The book begins with an introduction to algorithmic thinking and problem-solving techniques, laying the groundwork for understanding the design and analysis of algorithms. Levitin covers essential topics such as algorithmic efficiency, computational complexity, and algorithmic paradigms, providing readers with the tools they need to tackle algorithmic challenges effectively. Through a combination of theoretical insights and practical applications, readers gain a deep understanding of algorithmic concepts and their real-world implications.
With its emphasis on both theoretical foundations and practical applications, "Introduction to the Design and Analysis of Algorithms" equips readers with the skills necessary to design, analyze, and implement algorithms for a wide range of computational problems. Levitin explores various algorithmic techniques and approaches, offering insights into algorithm design patterns, optimization strategies, and problem-solving methodologies. Whether used as a textbook for computer science courses or as a reference for professionals, this book serves as an indispensable guide to the world of algorithms.
Key points:
1. Comprehensive coverage of algorithm design, analysis, and implementation.
2. Introduction to algorithmic thinking and problem-solving techniques.
3. Exploration of algorithmic efficiency, computational complexity, and algorithmic paradigms.
4. Emphasis on theoretical foundations and practical applications.
5. Insights into algorithm design patterns, optimization strategies, and problem-solving methodologies.
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Writer ✤ Anany Levitin (Author)