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Asymptotic theory
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261	ASYMPTOTIC DENSITY AND COMPUTABLY ENUMERABLE SETS RODNEY G. DOWNEY, CARL G. JOCKUSCH, JR., AND PAUL E. SCHUPP Abstract. We study connections between classical asymptotic density, computability and computable enumerabilit Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2013-07-19 19:14:33 Mathematics Computer science Computable function Recursive set Recursively enumerable set Enumeration Generic-case complexity Halting problem Low Computability theory Theory of computation Theoretical computer science
262	ASYMPTOTIC DENSITY AND THE ERSHOV HIERARCHY ROD DOWNEY, CARL JOCKUSCH, TIMOTHY H. MCNICHOLL, AND PAUL SCHUPP Abstract. We classify the asymptotic densities of the ∆02 sets according to their level in the Ershov hierarc Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2014-02-03 11:22:38 Field theory Computable number Real closed field Natural density Recursively enumerable set Limit superior and limit inferior Itō diffusion Mathematics Theory of computation Computability theory
263	ASYMPTOTIC DENSITY, COMPUTABLE TRACEABILITY, AND 1-RANDOMNESS URI ANDREWS, MINGZHONG CAI, DAVID DIAMONDSTONE, CARL JOCKUSCH, AND STEFFEN LEMPP Abstract. Let r be a real number in the unit interval [0, 1]. A set A ⊆ ω Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2014-02-03 11:22:22 Mathematics Computable function Algorithmically random sequence Busy beaver Theory of computation Computability theory Applied mathematics
264	Dynare Working Papers Series http://www.dynare.org/wp/ Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions Add to Reading List Source URL: www.dynare.org Language: English - Date: 2012-10-08 10:52:12 Functional analysis Quantum mechanics Asymptotic analysis Computational chemistry Perturbation theory Mathematical optimization Mathematical analysis Mathematics Ordinary differential equations
265	ON THE ASYMPTOTIC EFFECTIVENESS OF WEIL DESCENT ATTACKS KORAY KARABINA, ALFRED MENEZES, CARL POMERANCE, AND IGOR E. SHPARLINSKI Abstract. In this paper we investigate the asymptotic effectiveness of the Gaudry-Hess-Smart Add to Reading List Source URL: www.math.dartmouth.edu Language: English - Date: 2010-01-26 20:32:00 Cryptography Group theory Analytic number theory Elliptic curve Number theory Abstract algebra Mathematics Finite fields
266	Numerical results on the asymptotic rate of binary codes A. Barg and David B. Jaffe A BSTRACT. We compute upper bounds on the maximal size of a binary linear code of length n 1000, dimension k, and distance d For each va Add to Reading List Source URL: www.math.unl.edu Language: English - Date: 2000-03-22 13:00:52 Combinatorics Finite fields Information theory Error detection and correction Linear code Association scheme Constant-weight code Big O notation Distributed source coding Mathematics Coding theory Discrete mathematics
267	Asymptotic behaviour of problems set in cylinders We would like to consider asymptotic behaviour of various problems set in cylinders. Let Ω` = (−`, `) × (−1, 1) be the simplest cylinder possible. A good model pr Add to Reading List Source URL: www.maths.ox.ac.uk Language: English - Date: 2014-06-18 01:05:13 Calculus of variations Mathematical physics Variational inequality Singular perturbation Perturbation theory Mathematical analysis Calculus Partial differential equations
268	PDF Document Add to Reading List Source URL: www.medicine-science.net23.net Language: English - Date: 2013-02-01 02:13:12 Bayesian statistics Econometrics Maximum likelihood Fisher information Conjugate prior Marginal likelihood Asymptotic theory NOνA Likelihood function Statistics Estimation theory Statistical theory
269	Asymptotic Active Learning Maria-Florina Balcan∗ Eyal Even-Dar† Yishay Mansour¶ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-11-10 14:35:17 Mathematics Computational learning theory Theoretical computer science Learning Statistical inference Supervised learning Active learning VC dimension Statistical classification Statistics Machine learning Applied mathematics
270	High-dimensional statistics: Some progress and challenges ahead Add to Reading List Source URL: reading-group.net.technion.ac.il Language: English - Date: 2013-12-03 04:23:36 Econometrics Asymptotic theory Linear regression Loss function Estimator Fisher information Maximum likelihood Statistics Estimation theory Statistical theory

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