Results 11 to 20 of about 676 (93)
The Annals of Probability, 2013 In this article, we introduce the notion of free subexponentiality, which extends the notion of subexponentiality in the classical probability setup to the noncommutative probability spaces under freeness.
Hazra, Rajat Subhra, Maulik, Krishanu
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Subexponential LPs Approximate Max-Cut [PDF]
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS), 2020 We show that for every $\varepsilon > 0$, the degree-$n^\varepsilon$ Sherali-Adams linear program (with $\exp(\tilde{O}(n^\varepsilon))$ variables and constraints) approximates the maximum cut problem within a factor of $(\frac{1}{2}+\varepsilon')$, for some $\varepsilon'(\varepsilon) > 0$. Our result provides a surprising converse to known lower
Hopkins, Samuel B. +2 more
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Subexponential Parameterized Algorithms
Computer Science Review, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dorn, F., Fomin, F.V., Thilikos, D.M.
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Pseudodeterministic constructions in subexponential time [PDF]
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017 We study pseudodeterministic constructions, i.e., randomized algorithms which output the same solution on most computation paths. We establish unconditionally that there is an infinite sequence $\{p_n\}_{n \in \mathbb{N}}$ of increasing primes and a randomized algorithm $A$ running in expected sub-exponential time such that for each $n$, on input $1 ...
Oliveira, I, Santhanam, R
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A subexponential algorithm for ARRIVAL
, 2021 ISBN:978-3-95977-195 ...
Gärtner, Bernd +2 more
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Compound Sums and Subexponentiality [PDF]
Bernoulli, 1999 An intuitive interpretation of the subexponential distributions is that a sum of two independent random variables can only exceed a large threshold \(x\) if one of the random variables exceeds the threshold \(x\). A special class of the subexponential distributions is the class of distributions with a regularly varying tail.
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Product Convolution of Generalized Subexponential Distributions
Mathematics, 2023 Assume that ξ and η are two independent random variables with distribution functions Fξ and Fη, respectively. The distribution of a random variable ξη, denoted by Fξ⊗Fη, is called the product-convolution of Fξ and Fη. It is proved that Fξ⊗Fη is a generalized subexponential distribution if Fξ belongs to the class of generalized subexponential ...
Gustas Mikutavičius, Jonas Šiaulys
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Reduced Load Equivalence under Subexponentiality [PDF]
Queueing Systems, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jelenkovic, P.R. +2 more
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Asymptotics of Random Contractions [PDF]
, 2010 In this paper we discuss the asymptotic behaviour of random contractions $X=RS$, where $R$, with distribution function $F$, is a positive random variable independent of $S\in (0,1)$. Random contractions appear naturally in insurance and finance.
Anthony G. Pakes +39 more
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Subexponential groups in 4–manifold topology [PDF]
Geometry & Topology, 2000 We present a new, more elementary proof of the Freedman-Teichner result that the geometric classification techniques (surgery, s-cobordism, and pseudoisotopy) hold for topological 4-manifolds with groups of subexponential growth. In an appendix Freedman and Teichner give a correction to their original proof, and reformulate the growth estimates in ...
Krushkal, Vyacheslav S, Quinn, Frank
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