Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields

Fuente: arXiv
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Main Authors: Gia, Quoc Thong Le, Sloan, Ian Hugh, Wendland, Holger
Format: Preprint
Published: 2025
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author Gia, Quoc Thong Le
Sloan, Ian Hugh
Wendland, Holger
author_facet Gia, Quoc Thong Le
Sloan, Ian Hugh
Wendland, Holger
contents In this paper, we discuss vector-valued Gaussian processes for the approximation of divergence- or rotation-free functions. We establish the theory for such Gaussian processes, then link the theory to multivariate approximation theory, and finally give error estimates for the predictive mean in various situations.
format Preprint
id arxiv_https___arxiv_org_abs_2511_12535
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields
Gia, Quoc Thong Le
Sloan, Ian Hugh
Wendland, Holger
Numerical Analysis
Probability
65D12 (Primary) 60G15 (Secondary)
G.1.1; G.1.2; G.3
In this paper, we discuss vector-valued Gaussian processes for the approximation of divergence- or rotation-free functions. We establish the theory for such Gaussian processes, then link the theory to multivariate approximation theory, and finally give error estimates for the predictive mean in various situations.
title Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields
topic Numerical Analysis
Probability
65D12 (Primary) 60G15 (Secondary)
G.1.1; G.1.2; G.3
url https://arxiv.org/abs/2511.12535