T-IFISS: a toolbox for adaptive FEM computation
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Publication:2217126
DOI10.1016/j.camwa.2020.03.005OpenAlexW3013273396MaRDI QIDQ2217126
Leonardo Rocchi, David J. Silvester, Alexei Bespalov
Publication date: 18 December 2020
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1908.05618
finite elementsadaptive methodsmathematical softwaregoal-oriented adaptivitya posteriori error estimationstochastic Galerkin methods
Boundary value problems for second-order elliptic equations (35J25) Error bounds for boundary value problems involving PDEs (65N15) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs (65N50) PDEs with randomness, stochastic partial differential equations (35R60)
Related Items (8)
Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part I: Single-Level Approximation ⋮ Hierarchical a posteriori error estimation of Bank-Weiser type in the FEniCS project ⋮ Robust a posteriori error estimation for parameter-dependent linear elasticity equations ⋮ Two-Level a Posteriori Error Estimation for Adaptive Multilevel Stochastic Galerkin Finite Element Method ⋮ An adaptive interpolation element free Galerkin method based on a posteriori error estimation of FEM for Poisson equation ⋮ T-IFISS ⋮ A Fast Block $\alpha$-Circulant Preconditoner for All-at-Once Systems From Wave Equations ⋮ An adaptive variational multiscale element free Galerkin method based on the residual-based a posteriori error estimators for convection-diffusion-reaction problems
Uses Software
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