Dr Vesa Kaarnioja

Books

Book Chapters

Edited Books

Journal Articles

Journal articles | 2022

2022, 'Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification', Numerische Mathematik, 150, pp. 33 - 77, http://dx.doi.org/10.1007/s00211-021-01242-3

Journal articles | 2021

2021, 'A quasi-monte carlo method for optimal control under uncertainty', SIAM-ASA Journal on Uncertainty Quantification, 9, pp. 354 - 383, http://dx.doi.org/10.1137/19M1294952

Journal articles | 2021

2021, 'Bounds on the spectrum of nonsingular triangular (0,1)-matrices', Journal of Combinatorial Theory. Series A, 178, http://dx.doi.org/10.1016/j.jcta.2020.105353

Journal articles | 2020

2020, 'Uncertainty quantification using periodic random variables', SIAM Journal on Numerical Analysis, 58, pp. 1068 - 1091, http://dx.doi.org/10.1137/19M1262796

Journal articles | 2018

2018, 'Cylindrical Shell with Junctions: Uncertainty Quantification of Free Vibration and Frequency Response Analysis', Shock and Vibration, 2018, http://dx.doi.org/10.1155/2018/5817940

Journal articles | 2018

2018, 'Generalized eigenvalue problems for meet and join matrices on semilattices', Linear Algebra and Its Applications, 536, pp. 250 - 273, http://dx.doi.org/10.1016/j.laa.2017.09.023

Journal articles | 2017

2017, 'Polynomial collocation for handling an inaccurately known measurement configuration in electrical impedance tomography', SIAM Journal on Applied Mathematics, 77, pp. 202 - 223, http://dx.doi.org/10.1137/16M1068888

Working Papers

Other

Preprints | 2023

2023, Application of dimension truncation error analysis to high-dimensional function approximation, , http://dx.doi.org/10.48550/arxiv.2301.13693

Preprints | 2023

2023, Lattice-based kernel approximation and serendipitous weights for parametric PDEs in very high dimensions, , http://arxiv.org/abs/2303.17755v1

Preprints | 2022

2022, Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond, , http://dx.doi.org/10.48550/arxiv.2209.06176

Preprints | 2022

2022, Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration, , http://dx.doi.org/10.48550/arxiv.2208.02767

Preprints | 2022

2022, Quasi-Monte Carlo and discontinuous Galerkin, , http://dx.doi.org/10.48550/arxiv.2207.07698

Preprints | 2022

2022, Uncertainty quantification for random domains using periodic random variables, , http://dx.doi.org/10.48550/arxiv.1905.07693

Preprints | 2022

2022, Uncertainty quantification for random domains using periodic random variables, , http://dx.doi.org/10.48550/arxiv.2210.17329

Preprints | 2020

2020, Bounds on the spectrum of nonsingular triangular $(0,1)$-matrices, , http://dx.doi.org/10.48550/arxiv.2002.03337

Preprints | 2020

2020, Fast approximation by periodic kernel-based lattice-point interpolation with application in uncertainty quantification, , http://dx.doi.org/10.48550/arxiv.2007.06367

Preprints | 2019

2019, A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty, , http://dx.doi.org/10.48550/arxiv.1910.10022

Preprints | 2018

2018, Positive definite functions on semilattices, , http://dx.doi.org/10.48550/arxiv.1804.03047

Preprints | 2017

2017, Computation of extremal eigenvalues of high-dimensional lattice-theoretic tensors via tensor-train decompositions, , http://dx.doi.org/10.48550/arxiv.1705.05163

Preprints | 2017

2017, Generalized eigenvalue problems for meet and join matrices on semilattices, , http://dx.doi.org/10.48550/arxiv.1705.05169

Preprints | 2017

2017, On the structure of join tensors with applications to tensor eigenvalue problems, , http://dx.doi.org/10.48550/arxiv.1705.06313

Preprints | 2016

2016, Polynomial collocation for handling an inaccurately known measurement configuration in electrical impedance tomography, , http://dx.doi.org/10.48550/arxiv.1604.00353

Conference Papers | 2015

2015, 'Approximate methods for stochastic eigenvalue problems', in Applied Mathematics and Computation, pp. 664 - 681, http://dx.doi.org/10.1016/j.amc.2014.12.112

Preprints | 2015

2015, On applying the maximum volume principle to a basis selection problem in multivariate polynomial interpolation, , http://dx.doi.org/10.48550/arxiv.1512.07424

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Dr Vesa Kaarnioja