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On Unapproximable Versions of NP-Complete Problems (0) [31 citations — 1 self]

by David Zuckerman
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Abstract:

. We prove that all of Karp's 21 original NP-complete problems have a version that's hard to approximate. These versions are obtained from the original problems by adding essentially the same, simple constraint. We further show that these problems are absurdly hard to approximate. In fact, no polynomial-time algorithm can even approximate log (k) of the magnitude of these problems to within any constant factor, where log (k) denotes the logarithm iterated k times, unless NP is recognized by slightly superpolynomial randomized machines. We use the same technique to improve the constant ffl such that MAX CLIQUE is hard to approximate to within a factor of n ffl . Finally, we show that it is even harder to approximate two counting problems: counting the number of satisfying assignments to a monotone 2-SAT formula and computing the permanent of-1,0,1 matrices. Key words. NP-complete, unapproximable, randomized reduction, clique, counting problems, permanent, 2SAT AMS subject clas...

Citations

868 Reducibility among combinatorial problems – Karp - 1972
464 Optimization, approximation, and complexity classes – Papadimitriou, Yannakakis - 1991
322 The complexity of computing the permanent – Valiant - 1979
305 Non-deterministic exponential time has two-prover interactive protocols – Babai, Fortnow, et al. - 1991
151 Efficient probabilistically checkable proofs and applications to approximation – Bellare, Goldwasser, et al. - 1993
105 Improved non-approximability results – Bellare, Sudan - 1994
84 Simulating BPP using a general weak random source – Zuckerman - 1996
64 Monte-Carlo Approximation Algorithms for Enumeration Problems – Karp, Luby, et al. - 1989
48 Derandomized graph products – Alon, Feige, et al. - 1995
32 Deterministic Simulation – Ajtai, Komlos, et al. - 1987
24 Approximating clique is NP-complete – Arora, Safra - 1992
24 The Complexity of Theorem-Proving – Cook - 1971
24 A mildly exponential approximation algorithm for the permanent – Jerrum, Vazirani - 1992
16 randomness, or time versus space – Expanders - 1988
12 Computers and intractability, a guide to the theory of NP – Garey, Johnson - 1990
12 On the Hardness of Approximating Minimization – Lund, Yannakakis - 1993
7 On using deterministic functions to reduce randomness in probabilistic algorithms – Santha - 1987
4 On the Complexity of Approximating the – Berman, Schnittger - 1992
1 Approximating Clique is Almost – Feige, Goldwasser, et al. - 1991