《近似算法》由图灵奖得主Vijay V. Vazirani撰写，全面介绍了多项式时间近似方案的设计与分析方法，是理论计算机科学领域的重要参考文献。
Approximation Algorithms by Vijay V. Vazirani is a comprehensive resource that delves into the theory and practice of approximation algorithms, which are essential for solving complex optimization problems where finding an exact solution is computationally infeasible. The book covers various techniques and methods used to design efficient algorithms that provide near-optimal solutions with provable guarantees on their performance relative to the optimal solution.
This text explores a wide range of topics including linear programming relaxations, randomized rounding, primal-dual schema, and semidefinite programming among others. It also includes numerous examples, exercises, and applications drawn from diverse fields such as network design, facility location problems, scheduling issues in computer science and operations research.
The book aims to provide readers with a solid foundation for understanding the theoretical underpinnings of approximation algorithms while offering practical insights into their implementation across different domains.
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