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Approximation Algorithms for NP-Hard Problems Dorit Hochbaum
Publisher: Course Technology

The fractional MF problems are polynomial time solvable while integer versions are NP-complete. For graduate-level courses in approximation algorithms. TOP 30 IMPORTANT QUESTION OF Design & Analysis of Algorithm(DAA) For GBTU/MMTU C.S./I.T. It assumes familiarity with algorithms, mathematical proofs about the correctness of algorithms, probability theory and NP-completeness. Also Discuss What is meant by P(n)-approximation algorithm? In spite of their theoretical hardness, heuristic solvers are often able to solve large realistic problem instances surprisingly fast. Explain NP-Complete and NP- Hard problem. However, exact algorithms to solve the fractional MF problems have high computational complexity. Today is for its application to the field of hardness of approximation algorithms: It turns out that the PCP theorem is equivalent to saying that there are problems where computing even an approximate solution is NP-hard. The expected value of a discrete random variable). Finally, we assume that the reader knows something about NP-completeness, at least enough to know that there might be good reason for wanting fast, approximate solutions to NP-hard discrete optimization problems.