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Approximation Algorithms for NP-Hard Problems by Dorit Hochbaum

Approximation Algorithms for NP-Hard Problems Dorit Hochbaum ebook
Format: djvu
Page: 620
ISBN: 0534949681, 9780534949686
Publisher: Course Technology

I also wanted to include just a little bit of my own opinion on why studying approximation algorithms is worthwhile. Comparing Algorithms for the Traveling Salesman Problem. Problem classes P, NP, NP-hard and NP-complete, deterministic and nondeterministic polynomial time algorithms., Approximation algorithms for some NP complete problems. Different approximation algorithms have their advantages and disadvantages. Hence, the corresponding optimization problems (i.e. Maximization and minimization problems) also cannot be solved in polynomial time (unless again P=NP). Both these problems are NP-hard, which motivates our interest in their approximation. This problem addresses the issue of timing when deploying viral campaigns. The traveling salesman problem (TSP) is an NP-complete problem. Problem classes P, NP, NP-hard and NP-complete, deterministic and non deterministic polynomial time algorithms., Approximation algorithms for some NP-complete problems.