Vesa Kaarnioja

28 papers Journal 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explicit solutions of Genz test integrals. Appl. Math. Lett. Vesa Kaarnioja
2025	J	`jnl`	Lattice Rules Meet Kernel Cubature. CoRR Vesa Kaarnioja, Ilja Klebanov, Claudia Schillings, Yuya Suzuki
2025	J	`jnl`	On the optimality of dimension truncation error rates for a class of parametric partial differential equations. CoRR Philipp A. Guth, Vesa Kaarnioja
2025	J	`jnl`	Quasi-Monte Carlo for Bayesian shape inversion governed by the Poisson problem subject to Gevrey regular domain deformations. CoRR Ana Djurdjevac, Vesa Kaarnioja, Max Orteu, Claudia Schillings
2025	J	`jnl`	Quasi-Monte Carlo for Partial Differential Equations with Generalized Gaussian Input Uncertainty. SIAM J. Numer. Anal. Philipp A. Guth, Vesa Kaarnioja
2025	J	`jnl`	Sufficient conditions for QMC analysis of finite elements for parametric differential equations. CoRR Vesa Kaarnioja, Andreas Rupp, Jay Gopalakrishnan
2025	J	`jnl`	Uncertainty quantification for stationary and time-dependent PDEs subject to Gevrey regular random domain deformations. CoRR Ana Djurdjevac, Vesa Kaarnioja, Claudia Schillings, André-Alexander Zepernick
2024	J	`jnl`	Generalized Dimension Truncation Error Analysis for High-Dimensional Numerical Integration: Lognormal Setting and Beyond. SIAM J. Numer. Anal. Philipp A. Guth, Vesa Kaarnioja
2024	J	`jnl`	Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration. Numerische Mathematik Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
2024	J	`jnl`	Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs. CoRR Vesa Kaarnioja, Claudia Schillings
2024	J	`jnl`	Quasi-Monte Carlo for partial differential equations with generalized Gaussian input uncertainty. CoRR Philipp A. Guth, Vesa Kaarnioja
2024	J	`jnl`	Uncertainty quantification for electrical impedance tomography using quasi-Monte Carlo methods. CoRR Laura Bazahica, Vesa Kaarnioja, Lassi Roininen
2024	J	`jnl`	Uncertainty quantification for random domains using periodic random variables. Numerische Mathematik Harri Hakula, Helmut Harbrecht, Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan
2023	J	`jnl`	Application of dimension truncation error analysis to high-dimensional function approximation. CoRR Philipp A. Guth, Vesa Kaarnioja
2023	J	`jnl`	Doubling the rate - improved error bounds for orthogonal projection in Hilbert spaces. CoRR Ian H. Sloan, Vesa Kaarnioja
2023	J	`jnl`	Lattice-based kernel approximation and serendipitous weights for parametric PDEs in very high dimensions. CoRR Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan
2022	J	`jnl`	Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification. Numerische Mathematik Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile, Ian H. Sloan
2022	J	`jnl`	Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond. CoRR Philipp A. Guth, Vesa Kaarnioja
2022	J	`jnl`	Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration. CoRR Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
2022	J	`jnl`	Quasi-Monte Carlo and discontinuous Galerkin. CoRR Vesa Kaarnioja, Andreas Rupp
2022	J	`jnl`	Uncertainty quantification for random domains using periodic random variables. CoRR Harri Hakula, Helmut Harbrecht, Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan
2021	J	`jnl`	A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty. SIAM/ASA J. Uncertain. Quantification Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
2021	J	`jnl`	Bounds on the spectrum of nonsingular triangular (0, 1)-matrices. J. Comb. Theory A Vesa Kaarnioja
2020	J	`jnl`	Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification. CoRR Vesa Kaarnioja, Yoshihito Kazashi, Frances Y. Kuo, Fabio Nobile, Ian H. Sloan
2020	J	`jnl`	Uncertainty Quantification Using Periodic Random Variables. SIAM J. Numer. Anal. Vesa Kaarnioja, Frances Y. Kuo, Ian H. Sloan
2019	J	`jnl`	A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty. CoRR Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
2017	J	`jnl`	Polynomial Collocation for Handling an Inaccurately Known Measurement Configuration in Electrical Impedance Tomography. SIAM J. Appl. Math. Nuutti Hyvönen, Vesa Kaarnioja, Lauri Mustonen, Stratos Staboulis
2015	J	`jnl`	Approximate methods for stochastic eigenvalue problems. Appl. Math. Comput. Harri Hakula, Vesa Kaarnioja, Mikael Laaksonen