The Design of Approximation Algorithms
by David P. Williamson, David B. Shmoys
The Design of Approximation Algorithms introduces key techniques for creating efficient algorithms that approximate optimal solutions to hard optimization problems. Authored by David P. Williamson and David B. Shmoys, it covers essential methods like greedy algorithms, dynamic programming, and LP-based approaches, providing a solid foundation for algorithm designers in computer science.
About This Book
The Design of Approximation Algorithms by David P. Williamson and David B. Shmoys provides a structured approach to developing algorithms that find near-optimal solutions for NP-hard problems.
Readers will explore fundamental concepts in approximation, including greedy methods, dynamic programming, and linear programming relaxations.
The text emphasizes practical design strategies, making it suitable for advanced students and researchers in theoretical computer science.
Through clear explanations, the authors illustrate how to analyze and improve approximation guarantees for various optimization scenarios.
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