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20052026
most citedAlgorithmic Complexity Bounds on Future Prediction Errors

10 citations · 62 across the 21 of their papers we have counts for

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12 papers · 1 filter

math.NA2026

Local Gevrey regularity and Quasi-Monte Carlo quadrature for PDEs parameterized on non-compact domains

Dinh Dũng, Tùng Lê, Alexey Chernov

We establish local Gevrey regularity for the weak solution to parametric divergence-form diffusion elliptic PDEs, assuming the diffusion coefficient itself possesses local Gevrey p…

math.NA2023★ 4 cited

Bayesian parameter identification in impedance boundary conditions for Helmholtz problems

Nick Wulbusch, Reinhild Roden, Matthias Blau +1

We consider the problem of identifying the acoustic impedance of a wall surface from noisy pressure measurements in a closed room using a Bayesian approach. The room acoustics is m…

math.NA2023★ 1 cited

Analytic and Gevrey class regularity for parametric elliptic eigenvalue problems and applications

Alexey Chernov, Tung Le

We investigate a class of parametric elliptic eigenvalue problems with homogeneous essential boundary conditions where the coefficients (and hence the solution ) may depend on a…

math.NA2020

p- and hp- virtual elements for the Stokes problem

Alexey Chernov, Carlo Marcati, Lorenzo Mascotto

We analyse the p- and hp-versions of the virtual element method (VEM) for the the Stokes problem on a polygonal domain. The key tool in the analysis is the existence of a bijection…

math.NA2018

Sparse Grid Approximation Spaces for Space-Time Boundary Integral Formulations of the Heat Equation

Alexey Chernov, Anne Reinarz

The aim of this paper is to develop stable and accurate numerical schemes for boundary integral formulations of the heat equation with Dirichlet boundary conditions. The accuracy o…

math.NA2017

Multilevel ensemble Kalman filtering for spatio-temporal processes

Alexey Chernov, Håkon Hoel, Kody J. H. Law +2

We design and analyse the performance of a multilevel ensemble Kalman filter method (MLEnKF) for filtering settings where the underlying state-space model is an infinite-dimensiona…