Recent advances in finite element methods

S Beuchler, A Rösch - Computational Methods in Applied …, 2023 - degruyter.com
This special issue of Computational Methods in Applied Mathematics is dedicated to
Thomas Apel on the occasion of his 60th birthday in 2022. He was and is a leading figure in …

Multilevel quasi-Monte Carlo integration with product weights for elliptic PDEs with lognormal coefficients

L Herrmann, C Schwab - ESAIM: Mathematical Modelling and …, 2019 - esaim-m2an.org
We analyze the convergence rate of a multilevel quasi-Monte Carlo (MLQMC) Finite
Element Method (FEM) for a scalar diffusion equation with log-Gaussian, isotropic …

Finite element error estimates for normal derivatives on boundary concentrated meshes

J Pfefferer, M Winkler - SIAM Journal on Numerical Analysis, 2019 - SIAM
This paper is concerned with approximations and related discretization error estimates for
the normal derivatives of solutions of linear elliptic partial differential equations. In order to …

Extrapolated polynomial lattice rule integration in computational uncertainty quantification

J Dick, M Longo, C Schwab - SIAM/ASA Journal on Uncertainty Quantification, 2022 - SIAM
We present an extension of the convergence analysis for Richardson-extrapolated
polynomial lattice rules from [J. Dick, T. Goda, and T. Yoshiki, SIAM J. Numer. Anal., 57 …

Error estimates for the postprocessing approach applied to Neumann boundary control problems in polyhedral domains

T Apel, M Winkler, J Pfefferer - IMA Journal of Numerical …, 2018 - academic.oup.com
This article deals with error estimates for the finite element approximation of Neumann
boundary control problems in polyhedral domains. Special emphasis is put on singularities …

[PDF][PDF] Extrapolated lattice rule integration in computational uncertainty quantification

J Dick, M Longo, C Schwab - SAM Research Report, 2020 - sam.math.ethz.ch
We present an extension of the convergence analysis for Richardson-extrapolated
polynomial lattice rules from [Josef Dick, Takashi Goda and Takehito Yoshiki: Richardson …

[PDF][PDF] Extrapolated polynomial lattices and adaptivity in computational Uncertainty Quantification

M Longo - 2022 - research-collection.ethz.ch
We investigate the use of a class of quasi-Monte Carlo (QMC) quadrature rules, called
Extrapolated Polynomial Lattices, to approximate expected values of quantities of interest …

[HTML][HTML] A finite element method for elliptic optimal control problem on a non-convex polygon with corner singularities

HJ Choi, W Choi, Y Koh - Computers & Mathematics with Applications, 2018 - Elsevier
In this paper, we study a finite element method overcoming corner singularities for elliptic
optimal control problem posed on a polygon. Based on a corner singularity decomposition of …

[图书][B] Quasi-Monte Carlo integration in uncertainty quantification for PDEs with log-Gaussian random field inputs

L Herrmann - 2019 - research-collection.ethz.ch
Partial differential equations (PDEs) with incomplete knowledge on differential operators
arise in science and engineering. This lack of knowledge results in uncertainty in the …

An a posteriori error estimate of the outer normal derivative using dual weights

S Bertoluzza, E Burman, C He - SIAM Journal on Numerical Analysis, 2022 - SIAM
We derive a residual based a posteriori error estimate for the outer normal flux of
approximations to the diffusion problem with variable coefficient. By analyzing the solution of …