Chapter 9: Problem 17
Show that if a problem is not in \(N P\), it is not \(N P\) -easy. Therefore, Presburger Arithmetic and the Halting Problem are not \(N P\) -easy.
Chapter 9: Problem 17
Show that if a problem is not in \(N P\), it is not \(N P\) -easy. Therefore, Presburger Arithmetic and the Halting Problem are not \(N P\) -easy.
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Get started for freeWrite a polynomial-time verification algorithm for the Hamiltonian Circuits Decision Problem.
For the Sum-of-Subsets Problem discussed in Chapter \(5,\) can you develop an approximation algorithm that runs in polynomial time?
Can an algorithm be a polynomial-time algorithm for a problem using one encoding scheme, and an exponential-time algorithm for the same problem using another encoding scheme? Justify your answer.
Show that the reduction of the CNF-Satisfiability Problem to the Clique Decision Problem can be done in polynomial time.
Given a list of \(n\) positive integers \((n\) even), divide the list into two sublists such that the difference between the sums of the integers in the two sublists is minimized. Is this problem an \(N P\) -complete problem? Is this problem an \(N P\) -hard problem?
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