Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

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Download Citation: Mitzenmacher, M., & Upfal, E. (2017). Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis (2nd ed.). Cambridge University Press. Chapter Summary: Chapter 1: Events and Probability Discusses fundamental probability concepts and introduces applications like...

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Download Citation: Vazirani, V. V. (2011). Approximation Algorithms. Springer. Chapter Summary: Chapter 1: Introduction Outlines the basics of approximation algorithms, emphasizing their importance in dealing with NP-hard problems where exact solutions are computationally prohibitive. It lays the foundation for understanding...

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Download Citation: Williamson, D. P., & Shmoys, D. B. (2011). The Design of Approximation Algorithms. Cambridge University Press. Chapter Summary: Chapter 1: Introduction to Approximation Algorithms Discusses the basics of approximation algorithms, focusing on their need and utility in solving...

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