Results 11 to 20 of about 33,661 (311)
Global Asymptotic Convergent Observer for SLAM
IEEE Access, 2022 This paper investigates the global convergence problem of SLAM algorithms, a problem that has been subject to topological obstacles. This is due to the fact that state-space of attitude kinematics, $SO(3)$ , is a non-contractible manifold. Hence, $SO(3)
Seyed Hamed Hashemi, Jouni Mattila
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Relation Between Asymptotic $L_p$-Convergence and Some Classical Modes of Convergence
Real Analysis ExchangeAsymptotic $L_p$-convergence, which resembles convergence in $L_p$, was introduced to address a question in diffusive relaxation. This note aims to compare asymptotic $L_p$-convergence with convergence in measure and in weak $L_p$ spaces. One of the results characterizes convergence in measure on finite measure spaces in terms of asymptotic $L_p ...
Alves, Nuno J., Oniani, Giorgi G.
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On asymptotic convergence rate of random search
Journal of Global Optimization, 2023 AbstractThis paper presents general theoretical studies on asymptotic convergence rate (ACR) for finite dimensional optimization. Given the continuous problem function and discrete time stochastic optimization process, the ACR is the optimal constant for control of the asymptotic behaviour of the expected approximation errors. Under general assumptions,
Tarłowski, Dawid
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Statistical convergence in vector lattices [PDF]
Қарағанды университетінің хабаршысы. Математика сериясы, 2023 The statistical convergence is defined for sequences with the asymptotic density on the natural numbers, in general. In this paper, we introduce the statistical convergence in vector lattices by using the finite additive measures on directed sets ...
A. Aydın, F. Temizsu
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On the Asymptotic Convergence and Acceleration of Gradient Methods [PDF]
Journal of Scientific Computing, 2021 We consider the asymptotic behavior of a family of gradient methods, which include the steepest descent and minimal gradient methods as special instances. It is proved that each method in the family will asymptotically zigzag between two directions. Asymptotic convergence results of the objective value, gradient norm, and stepsize are presented as well.
Yakui Huang +3 more
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Axioms, 2022 This article investigates an equation with a rapidly oscillating inhomogeneity and with a rapidly decreasing kernel of an integral operator of Fredholm type.
Dana Bibulova +2 more
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Axioms, 2021 In this paper, we consider systems of singularly perturbed integro-differential equations with a rapidly oscillating right-hand side, including an integral operator with a slowly varying kernel.
Abdukhafiz Bobodzhanov +2 more
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Internal boundary layer in a singularly perturbed problem of fractional derivative
Қарағанды университетінің хабаршысы. Математика сериясы, 2020 This paper is devoted to the study of internal boundary layer. Such motions are often associated with effect of boundary layer, i.e. low flow viscosity affects only in a narrow parietal layer of a streamlined body, and outside this zone the flow is as ...
B.T. Kalimbetov +2 more
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Asymptotic convergence rates for averaging strategies [PDF]
Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2021 Parallel black box optimization consists in estimating the optimum of a function using $λ$ parallel evaluations of $f$. Averaging the $μ$ best individuals among the $λ$ evaluations is known to provide better estimates of the optimum of a function than just picking up the best.
Laurent Meunier +3 more
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Asymptotic Convergence of Thompson Sampling
CoRR, 2020 Thompson sampling has been shown to be an effective policy across a variety of online learning tasks. Many works have analyzed the finite time performance of Thompson sampling, and proved that it achieves a sub-linear regret under a broad range of probabilistic settings. However its asymptotic behavior remains mostly underexplored.
Cem Kalkanli, Ayfer Özgür
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