Results 31 to 40 of about 51,558 (305)
Sets of convergence of exponential series [PDF]
Proceedings of the American Mathematical Society, 1968 THEOREM. Let { a, } denote a sequence of numbers contained in the interval [0, 27r] and dense in a subinterval of length q for some positive number r. Let J(q) denote the set of integers which are divisible by [27r/fl] where the symbol [x ] denotes the largest positive integer not greater than x.
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Exponential convergence on fixed points.
, 2022 Exponential convergence on fixed points.
Dongsuk Kang (12501389) +2 more
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Bayesian Optimization with Exponential Convergence
CoRR, 2016 In NIPS 2015 (Advances in Neural Information Processing Systems 2015)
Kawaguchi, Kenji +2 more
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The exponential convergence of the CR Yamabe flow [PDF]
Science China Mathematics, 2019 In this paper, we study the CR Yamabe flow with zero CR Yamabe invariant. We use the CR Poincaré inequality and a Gagliardo-Nirenberg type interpolation inequality to show that this flow has long time solution and the solution converges to a contact form with flat pseudo-Hermitian scalar curvature exponentially.
Sheng, Weimin, Wang, Kunbo
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Convergence of exponentiated gradient algorithms
IEEE Transactions on Signal Processing, 2001 This paper studies three related algorithms: the (traditional) gradient descent (GD) algorithm, the exponentiated gradient algorithm with positive and negative weights (EG/spl plusmn/ algorithm), and the exponentiated gradient algorithm with unnormalized positive and negative weights (EGU/spl plusmn/ algorithm).
Hill, Simon, Williamson, Robert
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On rates of convergence for posterior distributions in infinite-dimensional models [PDF]
, 2007 This paper introduces a new approach to the study of rates of convergence for posterior distributions. It is a natural extension of a recent approach to the study of Bayesian consistency.
WALKER S. G +5 more
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A Randomized Kaczmarz Algorithm with Exponential Convergence [PDF]
Journal of Fourier Analysis and Applications, 2008 The Kaczmarz method for solving linear systems of equations is an iterative algorithm that has found many applications ranging from computer tomography to digital signal processing. Despite the popularity of this method, useful theoretical estimates for its rate of convergence are still scarce.
Strohmer, Thomas, Vershynin, Roman
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Almost sure and moment exponential stability in the numerical simulation of stochastic differential equations [PDF]
, 2007 Relatively little is known about the ability of numerical methods for stochastic differential equations (SDEs) to reproduce almost sure and small-moment stability.
Yuan, C. +4 more
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A Case of Exponential Convergence Rates for SVM
CoRR, 2022 Classification is often the first problem described in introductory machine learning classes. Generalization guarantees of classification have historically been offered by Vapnik-Chervonenkis theory. Yet those guarantees are based on intractable algorithms, which has led to the theory of surrogate methods in classification.
Cabannes V., Vigogna S.
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About the convergence rate Hermite – Pade approximants of exponential functions [PDF]
Известия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2021 This paper studies uniform convergence rate of Hermite\,--\,Pad\'e approximants (simultaneous Pad\'e approximants) $\{\pi^j_{n,\overrightarrow{m}}(z)\}_{j=1}^k$ for a system of exponential functions $\{e^{\lambda_jz}\}_{j=1}^k ...
Starovoitov, Alexander Pavlovich +1 more
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