Cover Image

Slicing of Radial Functions: a Dimension Walk in the Fourier Space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rux, Nicolaj, Quellmalz, Michael, Steidl, Gabriele
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Functional Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows
by: Rux, Nicolaj, et al.
Published: (2025)

Sliced Optimal Transport on the Sphere
by: Quellmalz, Michael, et al.
Published: (2023)

Generalized Fourier Diffraction Theorem and Filtered Backpropagation for Tomographic Reconstruction
by: Kirisits, Clemens, et al.
Published: (2024)

Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group
by: Quellmalz, Michael, et al.
Published: (2024)

Numerical Methods for Kernel Slicing
by: Rux, Nicolaj, et al.
Published: (2025)

Fast Summation of Radial Kernels via QMC Slicing
by: Hertrich, Johannes, et al.
Published: (2024)

Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
by: Stein, Viktor, et al.
Published: (2024)

Motion Detection in Diffraction Tomography by Common Circle Methods
by: Quellmalz, Michael, et al.
Published: (2022)

Time-Harmonic Optical Flow with Applications in Elastography
by: Melnyk, Oleh, et al.
Published: (2024)

Invertibility of the Fourier Diffraction Relation in Raster Scan Diffraction Tomography
by: Elbau, Peter, et al.
Published: (2026)

Spectral Function Space Learning and Numerical Linear Algebra Networks for Solving Linear Inverse Problems
by: Aspri, Andrea, et al.
Published: (2024)

Quasitubal Tensor Algebra Over Separable Hilbert Spaces
by: Mor, Uria, et al.
Published: (2025)

Application of a Fourier-Type Series Approach based on Triangles of Constant Width to Letterforms
by: Wasem, Micha, et al.
Published: (2024)

Characterizations of the Crandall--Pazy Class of $C_0$-semigroups on Hilbert Spaces and Their Application to Decay Estimates
by: Wakaiki, Masashi
Published: (2024)

Wasserstein Gradient Flows of MMD Functionals with Distance Kernels under Sobolev Regularization
by: Duong, Richard, et al.
Published: (2024)

Reduction of a nonlinear system and its numerical solution using a fractional iterative method
by: Torres-Hernandez, A., et al.
Published: (2020)

On the existence of approximate problems that preserve the type of a bifurcation point of a nonlinear problem. Application to the stationary Navier-Stokes equations
by: Bichir, Cătălin Liviu
Published: (2024)

Sampling recovery on function classes with a structural condition
by: Temlyakov, V.
Published: (2024)

Asymptotic behavior of polynomials orthonormal on a homogeneous set
by: Peherstorfer, Franz, et al.
Published: (2002)

Collocation method for a functional equation arising in behavioral sciences
by: Caballero, Josefa, et al.
Published: (2024)

An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
by: Daubechies, Ingrid, et al.
Published: (2003)

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
by: Berner, Julius, et al.
Published: (2025)

On the construction of a family of well-posed approximate formulations for the stationary Stokes problem using an extended system
by: Bichir, Cătălin Liviu
Published: (2024)

A New Proof that the Numerical Range is a Complete 2-Spectral Set for Weighted Shift Matrices
by: Crouzeix, Michel, et al.
Published: (2025)

Asymptotically proved numerical coupling of a 2D flexural porous plate with the 3D Stokes fluid
by: Krier, Maxime, et al.
Published: (2023)

Some lower bounds for optimal sampling recovery of functions with mixed smoothness
by: Gasnikov, A., et al.
Published: (2024)

Two-dimensional moment problem and Schur algorithm
by: Kovalyov, Ivan, et al.
Published: (2024)

On greedy approximation in complex Banach spaces
by: Gasnikov, A., et al.
Published: (2024)

Higher order error estimates for regularization of inverse problems under non-additive noise
by: Mirciu, Diana-Elena, et al.
Published: (2024)

Block subspace expansions for eigenvalues and eigenvectors approximation
by: Zuccalli, Francisco Arrieta, et al.
Published: (2024)

Extending Mercer's expansion to indefinite and asymmetric kernels
by: Jeong, Sungwoo, et al.
Published: (2024)

Refined localization spaces, Kondratiev spaces with fractional smoothness and extension operators
by: Hansen, Markus, et al.
Published: (2024)

Sparse sampling recovery in integral norms on some function classes
by: Temlyakov, V.
Published: (2024)

A survey of sampling discretization of integral and uniform norms
by: Dai, F., et al.
Published: (2026)

Raster Scan Diffraction Tomography
by: Elbau, Peter, et al.
Published: (2026)

On the inequalities of Babuška-Aziz, Friedrichs and Horgan-Payne
by: Costabel, Martin, et al.
Published: (2013)

Entropy numbers of classes defined by integral operators
by: Temlyakov, V.
Published: (2025)

Approximation by Certain Complex Nevai Operators : Theory and Applications
by: Majethiya, Priyanka, et al.
Published: (2025)

On stability of Weak Greedy Algorithm in the presence of noise
by: Temlyakov, V. N.
Published: (2025)

On weak greedy algorithms
by: Spivak, A. S., et al.
Published: (2026)