OpenAlex | Goal-oriented error estimation and adaptivity for elliptic PDEs with parametric or uncertain inputs

Goal-oriented error estimation and adaptivity for elliptic PDEs with parametric or uncertain inputs

Work

Year: 2018

Type: article

Source: Computer Methods in Applied Mechanics and Engineering

Authors Alex Bespalov, Dirk Praetorius, Leonardo Rocchi, Michele Ruggeri

Institutions University of Birmingham, TU Wien, University of Vienna

Cites: 47

Cited by: 13

Related to: 10

FWCI: 1.04

Citation percentile (by year/subfield): 74.01

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Sustainable Development Goal Affordable and clean energy

Open Access status: green

Funders Austrian Science Fund, Austrian Science Fund, Engineering and Physical Sciences Research Council

Grant IDS F65, W1245, EP/P013791/1