Results 51 to 60 of about 1,777,436 (249)

On Weights Which Admit Harmonic Bergman Kernel and Minimal Solutions of Laplace’s Equation

open access: yesAnnales Mathematicae Silesianae, 2022
In this paper we consider spaces of weight square-integrable and harmonic functions L2H(Ω, µ). Weights µ for which there exists reproducing kernel of L2H(Ω, µ) are named ’admissible weights’ and such kernels are named ’harmonic Bergman kernels’. We prove
Żynda Tomasz Łukasz
doaj   +1 more source

Probability Error Bounds for Approximation of Functions in Reproducing Kernel Hilbert Spaces

open access: yesJournal of Function Spaces, 2021
We find probability error bounds for approximations of functions f in a separable reproducing kernel Hilbert space H with reproducing kernel K on a base space X, firstly in terms of finite linear combinations of functions of type Kxi and then in terms of
Ata Deniz Aydın, Aurelian Gheondea
doaj   +1 more source

Computational algorithm for solving drug pharmacokinetic model under uncertainty with nonsingular kernel type Caputo-Fabrizio fractional derivative

open access: yesAlexandria Engineering Journal, 2021
This paper proposes an advanced numerical-analytical approach for handling a class of fuzzy fractional differential equations involving Caputo-Fabrizio derivative with a non-singular kernel arsing in the medical sector. The solution methodology relies on
Nesrine Harrouche   +3 more
doaj   +1 more source

Noncommutative reproducing kernel Hilbert spaces [PDF]

open access: yes, 2016
The theory of positive kernels and associated reproducing kernel Hilbert spaces, especially in the setting of holomorphic functions, has been an important tool for the last several decades in a number of areas of complex analysis and operator theory.
J. Ball, Gregory Marx, V. Vinnikov
semanticscholar   +1 more source

Boundedness of composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions [PDF]

open access: yesJournal of Mathematical Analysis and Applications, 2019
Composition operators have been extensively studied in complex analysis, and recently, they have been utilized in engineering and machine learning. Here, we focus on composition operators associated with maps in Euclidean spaces that are on reproducing ...
M. Ikeda, Isao Ishikawa, Y. Sawano
semanticscholar   +1 more source

Operators associated with soft and hard spectral edges from unitary ensembles. [PDF]

open access: yes, 2008
Using Hankel operators and shift-invariant subspaces on Hilbert space, this paper develops the theory of integrable operators associated with soft and hard edges of eigenvalues distributions of random matrices. Such Tracy--Widom operators are realized as
Blower, Gordon
core   +5 more sources

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces [PDF]

open access: yesRobotics: Science and Systems Conference, 2016
We introduce a functional gradient descent trajectory optimization algorithm for robot motion planning in Reproducing Kernel Hilbert Spaces (RKHSs). Functional gradient algorithms are a popular choice for motion planning in complex many-degree-of-freedom
Zita Marinho   +5 more
semanticscholar   +1 more source

Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression

open access: yesJournal of Applied Mathematics, 2012
We study learning algorithms generated by regularization schemes in reproducing kernel Hilbert spaces associated with an ϵ-insensitive pinball loss. This loss function is motivated by the ϵ-insensitive loss for support vector regression and the pinball ...
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
doaj   +1 more source

Reproducing kernel Hilbert spaces cannot contain all continuous functions on a compact metric space [PDF]

open access: yesArchiv der Mathematik, 2020
Given an uncountable, compact metric space X, we show that there exists no reproducing kernel Hilbert space that contains the space of all continuous functions on X.
Ingo Steinwart
semanticscholar   +1 more source

Simplified iterative reproducing kernel method for handling time-fractional BVPs with error estimation

open access: yesAin Shams Engineering Journal, 2018
In this article, we introduce a novel numerical scheme, the iterative reproducing kernel method (IRKM), for providing numerical approximate solutions of a certain class of time-fractional boundary value problem within favorable aspects of the reproducing
Mohammed Al-Smadi
doaj   +1 more source

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