A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data

Jens Lang; Robert Scheichl; David J. Silvester

doi:10.1016/j.jcp.2020.109692

ScienceGate Book Chapters

JOURNAL ARTICLE

A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data

Jens Lang Robert Scheichl David J. Silvester

Year: 2020 Journal: Journal of Computational Physics Vol: 419 Pages: 109692-109692 Publisher: Elsevier BV

DOI: 10.1016/j.jcp.2020.109692

Get Full-Text PDF Get Analytical Report

Keywords:

Sparse grid Collocation (remote sensing) Discretization Mathematical optimization Adaptive mesh refinement Computer science Computational complexity theory Uncertainty quantification Hierarchy Convergence (economics) Mathematics Algorithm Applied mathematics Computational science

Metrics

Cited By

2.37

FWCI (Field Weighted Citation Impact)

Refs

0.90

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Probabilistic and Robust Engineering Design

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Mathematical Approximation and Integration

Physical Sciences → Mathematics → Numerical Analysis

A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data

Metrics

Citation History

Topics

Related Documents

Stochastic Collocation for Elliptic PDEs with Random Data: The Lognormal Case

Efficient Adaptive Algorithms for Elliptic PDEs with Random Data

Elliptic PDEs with Random Data

An Adaptive ANOVA-Based Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficient

An Adaptive LOOCV-Based Algorithm for Solving Elliptic PDEs via RBF Collocation