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On an optimal deterministic algorithm for SAT
 In: Proc 12th International Workshop, CSL'98. Lecture Notes in Computer Science
, 1999
"... . J. Kraj'icek and P. Pudl'ak proved that an almost optimal deterministic algorithm for TAUT exists if and only if there exists a poptimal proof system for TAUT . In this paper we prove that an almost optimal deterministic algorithm for SAT exists if and only if there exists a poptima ..."
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Cited by 7 (1 self)
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. J. Kraj'icek and P. Pudl'ak proved that an almost optimal deterministic algorithm for TAUT exists if and only if there exists a poptimal proof system for TAUT . In this paper we prove that an almost optimal deterministic algorithm for SAT exists if and only if there exists a p
A DETERMINISTIC ALGORITHM FOR THE MCD
, 2010
"... The minimum covariance determinant (MCD) method is a robust estimator of multivariate location and scatter (Rousseeuw, 1984). The MCD is highly resistant to outliers, and it is often applied by itself and as a building block for other robust multivariate methods. Computing the exact MCD is very hard ..."
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invariant. In this article we present a deterministic algorithm, denoted as DetMCD, which does not use random subsets and is even faster. It is permutation invariant and very close to affine equivariant. We illustrate DetMCD on real and simulated data sets, with applications involving principal component
Deterministic Algorithms for Matrix Completion
"... The goal of the matrix completion problem is to retrieve an unknown real matrix from a small subset of its entries. This problem comes up in many application areas, and has received a great deal of attention in the context of the Net ix challenge. This setup usually represents our partial knowledge ..."
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that agrees with the partially speci ed matrix. The performance of the above algorithm under the assumption that the revealed entries are sampled randomly has received considerable attention (e.g. [16, 17, 6, 4, 3, 15, 9, 10]). Here we ask what can be said if the observed entries are chosen deterministically
An Efficient Deterministic Algorithm for the
"... We address the problem of how best to get a group of machines on a network to learn of each others existence; this is referred to as the Resource Discovery Problem (RDP). Straightforward algorithms for RDP are slow or have high communication cost. Harchol et al. [3] recently presented namedroppe ..."
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convergence can be detected; in order to provide a high probability of convergence, the number of machines on the network must be known a priori to all machines. We present fastleader, a deterministic distributed algorithm for RDP which overcomes these limitations while matching namedropper's time
Deterministic Algorithms for the Lovasz Local Lemma
, 2010
"... The Lovász Local Lemma [5] (LLL) is a powerful result in probability theory that states that the probability that none of a set of bad events happens is nonzero if the probability of each event is small compared to the number of events that depend on it. It is often used in combination with the prob ..."
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efficiently. Specifically, for a kCNF formula with m clauses and d ≤ 2 k/(1+ɛ) /e for some ɛ ∈ (0, 1), we give an algorithm that finds a satisfying assignment in time Õ(m2(1+1/ɛ)). This improves upon the deterministic algorithms of Moser and of MoserTardos with running times m Ω(k2) and m Ω(k·1/ɛ) which
A Deterministic Algorithm for the ThreeDimensional Diameter Problem
, 1992
"... We give a deterministic algorithm for computing the diameter of an n point set in three dimensions with O(n log^c n) running time, c a constant. ..."
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Cited by 26 (2 self)
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We give a deterministic algorithm for computing the diameter of an n point set in three dimensions with O(n log^c n) running time, c a constant.
shaping controlled by a deterministic algorithm
, 2013
"... Optimization of ultrafast interactions using laser pulse temporal ..."
Using Nondeterminism to Design Efficient Deterministic Algorithms
, 2004
"... In this paper we illustrate how nondeterminism can be used conveniently and effectively in designing efficient deterministic algorithms. In particular, our method gives a parameterized algorithm of running time O((5.7k) kn) for the 3D matching problem, which significantly improves the previous alg ..."
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Cited by 4 (2 self)
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In this paper we illustrate how nondeterminism can be used conveniently and effectively in designing efficient deterministic algorithms. In particular, our method gives a parameterized algorithm of running time O((5.7k) kn) for the 3D matching problem, which significantly improves the previous
Results 1  10
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238,711