Functional a posteriori error estimates for boundary element methods

12/12/2019
by   Stefan Kurz, et al.
0

Functional error estimates are well-estabilished tools for a posteriori error estimation and related adaptive mesh-refinement for the finite element method (FEM). The present work proposes a first functional error estimate for the boundary element method (BEM). One key feature is that the derived error estimates are independent of the BEM discretization and provide guaranteed lower and upper bounds for the unknown error. In particular, our analysis covers Galerkin BEM as well as collocation, which makes our approach of particular interest for people working in engineering. Numerical experiments for the Laplace problem confirm the theoretical results.

READ FULL TEXT

page 9

page 11

page 14

page 15

page 20

research
04/28/2021

A posteriori error estimates for the Brinkman-Darcy-Forchheimer problem

In this paper, we study the "a posteriori" error estimate corresponding ...
research
08/10/2020

A residual a posteriori error estimate for the time-domain boundary element method

This article investigates residual a posteriori error estimates and adap...
research
11/06/2017

Goal-oriented adaptive mesh refinement for non-symmetric functional settings

In this article, a Petrov-Galerkin duality theory is developed. This the...
research
05/12/2020

Adaptive non-hierarchical Galerkin methods for parabolic problems with application to moving mesh and virtual element methods

We present a posteriori error estimates for inconsistent and non-hierarc...
research
11/30/2021

Linearisation of the Travel Time Functional in Porous Media Flows

The travel time functional measures the time taken for a particle trajec...
research
05/05/2021

Solvability of Discrete Helmholtz Equations

We study the unique solvability of the discretized Helmholtz problem wit...
research
06/18/2018

Quantifying discretization errors for soft-tissue simulation in computer assisted surgery: a preliminary study

Errors in biomechanics simulations arise from modeling and discretizatio...

Please sign up or login with your details

Forgot password? Click here to reset