'Polynomially bounded' diaporamas de présentation

NP-Complete Problems

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RANDOMIZED COMPUTATION

RANDOMIZED COMPUTATION. Randomized Algorithms symbolic determinats ZOO of Randomized Complexity Classes RP, ZPP, PP, BPP syntactic vs semantic classes Circuit Complexity circuit size as measure of complexity uniform vs non-uniform circuits. SYMBOLIC DETERMINANTS.

696 views • 30 slides

NP-Complete Problems

NP-Complete Problems. Problems Abstract Problems Decision Problem, Optimal value, Optimal solution Encodings //Data Structure Concrete Problem //Language Class of Problems P NP NP-Complete NP-Completeness Proofs Solving hard problems Approximation Algorithms. Abstract Problems.

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NP-Complete Problems

NP-Complete Problems. Running Time v.s. Input Size. Concern with problems whose complexity may be described by exponential functions. Tractable problems v.s. intractable problems. Decision Problems. Optimization problems can be formulated as decision problems.

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Chapter 1 The Self-Reducibility Technique Matt Boutell and Bill Scherer CSC 486 April 4, 2001

Chapter 1 The Self-Reducibility Technique Matt Boutell and Bill Scherer CSC 486 April 4, 2001. Historical Perspective. [Berman 1978]: P=NP ? ? a tally set that is ? m -hard for NP [Mahaney 1982]: P=NP ? ? a sparse set that is ? m -complete for NP

475 views • 14 slides