Výsledky vyhledávání - "Weak Convergence"

Akademický článek

On Uniqueness and Continuous Dependence of the Weak Solutions of Neutral Stochastic Functional Differential Equations in Infinite Dimensional Spaces

Autor: Z. P. Khaletska, M. N. Ospanov, Y. M. Perestyuk, O. A. Pravdyvyi

Publikováno v: Journal of Optimization, Differential Equations and Their Applications, Vol 32, Iss 2, Pp 156-174 (2024)

In this paper we establish uniqueness of the weak solutions of nonlinear stochastic functional differential equations of neutral type in Hilbert spaces. We also study the continuous dependence of such solutions on the initial data

Externí odkaz: https://doaj.org/article/e9e9ddc0058941298446ec619713ed2a

Zobrazit plný text záznamu

Akademický článek

On generalized shifts of the Mellin transform of the Riemann zeta-function

Autor: Laurinčikas Antanas, Šiaučiūnas Darius

Publikováno v: Open Mathematics, Vol 22, Iss 1, Pp 115-145 (2024)

In this article, we consider the asymptotic behaviour of the modified Mellin transform Z(s){\mathcal{Z}}\left(s), s=σ+its=\sigma +it, of the Riemann zeta-function using weak convergence of probability measures in the space of analytic functions defi

Externí odkaz: https://doaj.org/article/edd8cd4b9dda4d31aaecbd8c89ba377e

Zobrazit plný text záznamu

Kniha

Alternative approaches to the two-scale convergence / Luděk Nechvátal.

Autor: Nechvátal, Luděk, 1975-

Akademický článek

A recent proximal gradient algorithm for convex minimization problem using double inertial extrapolations

Autor: Suparat Kesornprom, Papatsara Inkrong, Uamporn Witthayarat, Prasit Cholamjiak

Publikováno v: AIMS Mathematics, Vol 9, Iss 7, Pp 18841-18859 (2024)

In this study, we suggest a new class of forward-backward (FB) algorithms designed to solve convex minimization problems. Our method incorporates a linesearch technique, eliminating the need to choose Lipschitz assumptions explicitly. Additionally, w

Externí odkaz: https://doaj.org/article/3d497ac52ad64ebda166be4248739767

Zobrazit plný text záznamu