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rting. Linear Programming and Approximation Algorithms Basic LP formulation and duality. Approximation techniques for NP-hard problems, such as the vertex cover and traveling salesman problem. This comprehensive coverage ensures that users can find solutions and insights

y flow algorithms to optimize data routing. Achieved significant reductions in latency and congestion. Case Study 2: Large-Scale Set Cover in Data Mining Implemented greedy approximation algorithms. Manag

largest connected component. Resources for Mastering Easley and Kleinberg Networks Solutions Exercises Textbooks and Academic Papers: Beyond the original book, explore online resources and scholarly articles for