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Related papers: Gaussian RBF-kernels via Fock spaces: quaternionic…

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We deal with a class of one-parameter family of integral transforms of Bargmann type arising as dual transforms of fractional Hankel transform. Their ranges are identified to be special subspaces of the weighted hyperholomorphic left…

Complex Variables · Mathematics 2020-05-19 Allal Ghanmi

To search for the temporal variation of the fundamental constants one needs to know dependence of atomic transition frequencies on these constants. We study the dependence of the hyperfine structure of atomic $s$-levels on nuclear radius…

Atomic Physics · Physics 2010-11-02 T. H. Dinh , A. Dunning , V. A. Dzuba , V. V. Flambaum

Random binning features, introduced in the seminal paper of Rahimi and Recht (2007), are an efficient method for approximating a kernel matrix using locality sensitive hashing. Random binning features provide a very simple and efficient way…

Machine Learning · Statistics 2020-03-24 Michael Kapralov , Navid Nouri , Ilya Razenshteyn , Ameya Velingker , Amir Zandieh

Let $\nu_{\alpha,q}$ be the probability and orthogonality measure for the $q$-Meixner-Pollaczek orthogonal polynomials, which has appeared in \cite{BEH15} as the distribution of the $(\alpha,q)$-Gaussian process (the Gaussian process of…

Functional Analysis · Mathematics 2017-04-04 Nobuhiro Asai , Marek Bożejko , Takahiro Hasebe

By way of concrete presentations, we construct two infinite-dimensional transforms at the crossroads of Gaussian fields and reproducing kernel Hilbert spaces (RKHS), thus leading to a new infinite-dimensional Fourier transform in a general…

Functional Analysis · Mathematics 2023-03-31 Palle E. T. Jorgensen , Myung-Sin Song , James Feng Tian

In this paper, we investigate the application of radial basis functions (RBFs) for the approximation with collocation of the Stokes problem. The approximate solution is constructed in a multi-level fashion, each level using compactly…

Numerical Analysis · Mathematics 2014-09-29 Andrew Chernih , Quoc Thong Le Gia

A radial basis function (RBF) method based on matrix-valued kernels is presented and analyzed for computing two types of vector decompositions on bounded domains: one where the normal component of the divergence-free part of the field is…

Numerical Analysis · Mathematics 2015-03-06 Edward J. Fuselier , Grady B. Wright

We study the Gaussian Radon transform in the classical Wiener space of Brownian motion. We determine explicit formulas for transforms of Brownian functionals specified by stochastic integrals. A Fock space decomposition is also established…

Probability · Mathematics 2014-09-22 Irina Holmes , Ambar N. Sengupta

The constituent quark model based on a hypercentral approach takes into account three-body force effects and standard two-body potential contributions. The quark potential contains a hypercentral interaction, to which a hyperfine term is…

Nuclear Theory · Physics 2016-09-08 M. M. Giannini , E. Santopinto , A. Vassallo

We study the application of graph random features (GRFs) - a recently introduced stochastic estimator of graph node kernels - to scalable Gaussian processes on discrete input spaces. We prove that (under mild assumptions) Bayesian inference…

Machine Learning · Computer Science 2025-09-29 Matthew Zhang , Jihao Andreas Lin , Krzysztof Choromanski , Adrian Weller , Richard E. Turner , Isaac Reid

We implement an efficient method of computation of two dimensional Fourier-type integrals based on approximation of the integrand by Gaussian radial basis functions, which constitute a standard tool in approximation theory. As a result, we…

Numerical Analysis · Mathematics 2022-02-07 A. Martinez-Finkelshtein , D. Ramos-Lopez , D. R. Iskander

This paper aims to survey our recent work relating to the radial basis function (RBF) and its applications to numerical PDEs. We introduced the kernel RBF involving general pre-wavelets and scale-orthogonal wavelets RBF. A…

Numerical Analysis · Mathematics 2025-10-20 W Chen

We develop complex Jacobi, Gegenbauer and Chebyshev polynomial expansions for the kernels associated with power-law fundamental solutions of the polyharmonic equation on d-dimensional Euclidean space. From these series representations we…

Mathematical Physics · Physics 2013-06-06 Howard S. Cohl

We provide a classification of Fueter-regular quaternionic functions $f$ in terms of the degree of complex linearity of their real differentials $df$. Quaternionic imaginary units define orthogonal almost-complex structures on the tangent…

Complex Variables · Mathematics 2025-06-11 Alessandro Perotti , Caterina Stoppato

This paper presents a somewhat exhaustive study on the conformable fractional Gauss hypergeometric function (CFGHF). We start by solving the conformable fractional Gauss hypergeometric equation (CFGHE) about the fractional regular singular…

Classical Analysis and ODEs · Mathematics 2020-09-28 Mahmoud Abul-Ez , Mohra Zayed , Ali Youssef

Gaussian conditional random fields (GCRF) are a well-known used structured model for continuous outputs that uses multiple unstructured predictors to form its features and at the same time exploits dependence structure among outputs, which…

Machine Learning · Computer Science 2019-02-04 Andrija Petrović , Mladen Nikolić , Miloš Jovanović , Boris Delibašić

The Relativistic Hartree-Fock-Bogoliubov model for axially deformed nuclei (RHFBz) is introduced. The model is based on an effective Lagrangian with density-dependent meson-nucleon couplings in the particle-hole channel, and the pairing…

Nuclear Theory · Physics 2011-08-02 J. -P. Ebran , E. Khan , D. Pena Arteaga , D. Vretenar

The main purpose of this paper is to prove some density results of polynomials in Fock spaces of slice regular functions. The spaces can be of two different kinds since they are equipped with different inner products and contain different…

Complex Variables · Mathematics 2018-12-10 Kamal Diki , Sorin G. Gal , Irene Sabadini

Fractional vector calculus is discussed in the spherical coordinate framework. A variation of the Legendre equation and fractional Bessel equation are solved by series expansion and numerically. Finally, we generalize the hypergeometric…

Mathematical Physics · Physics 2010-01-19 Ming-Fan Li , Ji-Rong Ren , Tao Zhu

The fractional Fourier transform (FrFT), which is a generalization of the Fourier transform, has become the focus of many research papers in recent years because of its applications in electrical engineering and optics. In this paper, we…

Functional Analysis · Mathematics 2020-08-21 Owais Ahmad , Neyaz A. Sheikh , Firdous A. Shah