Randomized algorithms
MAX-CUT has a randomized approximation scheme in dense graphs
Random Structures & Algorithms
Proof verification and the hardness of approximation problems
Journal of the ACM (JACM)
Property testing and its connection to learning and approximation
Journal of the ACM (JACM)
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Polynomial time approximation schemes for dense instances of NP -hard problems
Journal of Computer and System Sciences
Gadgets, Approximation, and Linear Programming
SIAM Journal on Computing
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Robust Characterizations of Polynomials withApplications to Program Testing
SIAM Journal on Computing
The complexity of theorem-proving procedures
STOC '71 Proceedings of the third annual ACM symposium on Theory of computing
Journal of Algorithms
Random sampling and approximation of MAX-CSPs
Journal of Computer and System Sciences - STOC 2002
Testing hypergraph colorability
Theoretical Computer Science - Automata, languages and programming
Spectral methods for matrices and tensors
Proceedings of the forty-second ACM symposium on Theory of computing
Approximate Hypergraph Partitioning and Applications
SIAM Journal on Computing
Proceedings of the forty-third annual ACM symposium on Theory of computing
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Many NP-hard languages can be "decided" in subexponential time if the definition of "decide" is relaxed only slightly. Rubinfeld and Sudan introduced the notion of property testers, probabilistic algorithms that can decide, with high probability, if a function has a certain property or if it is far from any function having this property. Goldreich, Goldwasser, and Ron constructed property testers with constant query complexity for dense instances of a large class of graph problems. Since many graph problems can be viewed as special cases of the Constraint Satisfaction Problem on Boolean domains, it is natural to try to construct property testers for more general cases of the Constraint Satisfaction Problem. In this paper, we give explicit constructions of property testers using a constant number of queries for dense instances of Constraint Satisfaction Problems where the constraints have constant arity and the variables assume values in some domain of finite size.