Results 51 to 60 of about 4,142 (221)
Reproducing Kernel Hilbert Spaces and fractal interpolation
The main result of this work is to link two fields: fractal interpolation and reproducing kernel Hilbert space. The corresponding spaces of the simple fractal interpolation functions are also reproducing kernel Hilbert spaces, as specific cases. The authors provide the elements for calculating the respective kernel functions for reproducing kernel ...
Bouboulis, P., Mavroforakis, M.
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A new application of reproducing kernel Hilbert space method [PDF]
We demonstrate a new application of the reproducing kernel Hilbert space method in this paper.
A. Akgül +3 more
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Reproducing Kernels and Variable Bandwidth
We show that a modulation space of type () is a reproducing kernel Hilbert space (RKHS). In particular, we explore the special cases of variable bandwidth spaces Aceska and Feichtinger (2011) with a suitably chosen weight to provide strong enough decay ...
R. Aceska, H. G. Feichtinger
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Orthorecursive expansions generated by the Szego kernel [PDF]
This article considers systems of subspaces of the Hardy space generated by the Szego kernel. The main result of the work is to establish the convergence of orthorecursive expansions with respect to the considered systems of subspaces.
Terekhin, Pavel A.
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Solutions of fractional differential equations with reproducing kernel hilbert space method [PDF]
Bu tez yedi bölümden oluşmaktadır. Birinci bölümde, kesir mertebeli türev ve doğuran çekirdekli Hilbert uzayı metodu hakkında tarihsel gelişim ve literatür taraması verilmiştir. İkinci bölümde, tez çalışmasında kullanılacak olan temel tanım, teorem ve ön
Şenol, Mehmet, Ata, Ayşe
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Reproducing kernel Hilbert space method for solving fractal fractional differential equations
Based on reproducing kernel theory, an analytical approach is considered to construct numerical solutions for some basic fractional ordinary differential equations (FODEs, for short) under fractal fractional derivative with the exponential decay kernel ...
Nourhane Attia +4 more
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Learnability in Hilbert Spaces with Reproducing Kernels
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the stability test for reproducing kernel Hilbert spaces
Reproducing kernel Hilbert spaces (RKHSs) are special Hilbert spaces where all the evaluation functionals are linear and bounded. They are in one-to-one correspondence with positive definite maps called kernels. Stable RKHSs enjoy the additional property of containing only functions and absolutely integrable.
Mauro Bisiacco, Gianluigi Pillonetto
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Probability Error Bounds for Approximation of Functions in Reproducing Kernel Hilbert Spaces
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
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A reproducing kernel Hilbert space approach to singular local stochastic volatility McKean–Vlasov models [PDF]
Motivated by the challenges related to the calibration of financial models, we consider the problem of numerically solving a singular McKean–Vlasov equation dXt=σ(t,Xt)XtvtE[vt|Xt]dWt,where Wis a Brownian motion and vis an adapted diffusion process. This
Bayer, Christian +4 more
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