Vesa Kaarnioja

According to our database, Vesa Kaarnioja authored at least 21 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Quasi-Monte Carlo for Bayesian shape inversion governed by the Poisson problem subject to Gevrey regular domain deformations.

Ana Djurdjevac, Vesa Kaarnioja, Max Orteu, Claudia Schillings

CoRR, February, 2025

Uncertainty quantification for stationary and time-dependent PDEs subject to Gevrey regular random domain deformations.

Ana Djurdjevac, Vesa Kaarnioja, Claudia Schillings, André-Alexander Zepernick

CoRR, February, 2025

Lattice Rules Meet Kernel Cubature.

Vesa Kaarnioja, Ilja Klebanov, Claudia Schillings, Yuya Suzuki

CoRR, January, 2025

Explicit solutions of Genz test integrals.

Vesa Kaarnioja

Appl. Math. Lett., 2025

2024

Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration.

Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan

Numerische Mathematik, April, 2024

Uncertainty quantification for random domains using periodic random variables.

Harri Hakula, Helmut Harbrecht, Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan

Numerische Mathematik, February, 2024

Generalized Dimension Truncation Error Analysis for High-Dimensional Numerical Integration: Lognormal Setting and Beyond.

Philipp A. Guth, Vesa Kaarnioja

SIAM J. Numer. Anal., 2024

Uncertainty quantification for electrical impedance tomography using quasi-Monte Carlo methods.

Laura Bazahica, Vesa Kaarnioja, Lassi Roininen

CoRR, 2024

Quasi-Monte Carlo for partial differential equations with generalized Gaussian input uncertainty.

Philipp A. Guth, Vesa Kaarnioja

CoRR, 2024

Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs.

Vesa Kaarnioja, Claudia Schillings

CoRR, 2024

2023

Doubling the rate - improved error bounds for orthogonal projection in Hilbert spaces.

Ian H. Sloan, Vesa Kaarnioja

CoRR, 2023

Lattice-based kernel approximation and serendipitous weights for parametric PDEs in very high dimensions.

Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan

CoRR, 2023

Application of dimension truncation error analysis to high-dimensional function approximation.

Philipp A. Guth, Vesa Kaarnioja

CoRR, 2023

2022

Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification.

Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile, Ian H. Sloan

Numerische Mathematik, 2022

Quasi-Monte Carlo and discontinuous Galerkin.

Vesa Kaarnioja, Andreas Rupp

CoRR, 2022

2021

A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty.

Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan

SIAM/ASA J. Uncertain. Quantification, 2021

Bounds on the spectrum of nonsingular triangular (0, 1)-matrices.

Vesa Kaarnioja

J. Comb. Theory A, 2021

2020

Uncertainty Quantification Using Periodic Random Variables.

Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan

SIAM J. Numer. Anal., 2020

2019

A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty.

Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan

CoRR, 2019

2017

Polynomial Collocation for Handling an Inaccurately Known Measurement Configuration in Electrical Impedance Tomography.

Nuutti Hyvönen, Vesa Kaarnioja, Lauri Mustonen, Stratos Staboulis

SIAM J. Appl. Math., 2017

2015

Approximate methods for stochastic eigenvalue problems.

Harri Hakula, Vesa Kaarnioja, Mikael Laaksonen

Appl. Math. Comput., 2015