Adjoint recovery of superconvergent linear functionals from Galerkin approximations. The one-dimensional case
DOI10.1007/S10915-007-9129-9zbMath1134.65052OpenAlexW1979161420MaRDI QIDQ2385511
Ryuhei Ichikawa, Bernardo Cockburn
Publication date: 12 October 2007
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-007-9129-9
numerical resultserror analysiserror boundsconvection-diffusion problemdiscontinuous Galerkin methodsuperconvergenceboundary value problemintegral functionalpostprocessingadjoint equations
Stability and convergence of numerical methods for ordinary differential equations (65L20) Numerical methods for initial value problems involving ordinary differential equations (65L05) Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations (65L60) Numerical solution of boundary value problems involving ordinary differential equations (65L10) Error bounds for numerical methods for ordinary differential equations (65L70)
Related Items (3)
Cites Work
- Galerkin approximations for the two point boundary problem using continuous, piecewise polynomial spaces
- Element-by-element post-processing of discontinuous Galerkin methods for Timoshenko beams
- Optimal a priori error estimates for the $hp$-version of the local discontinuous Galerkin method for convection--diffusion problems
- Superconvergence of the numerical traces of discontinuous Galerkin and Hybridized methods for convection-diffusion problems in one space dimension
- Discontinuous Galerkin Methods for Ordinary Differential Equations
- Higher Order Local Accuracy by Averaging in the Finite Element Method
- Adjoint Recovery of Superconvergent Functionals from PDE Approximations
- Enhanced accuracy by post-processing for finite element methods for hyperbolic equations
- Locking‐Free Optimal Discontinuous Galerkin Methods for Timoshenko Beams
This page was built for publication: Adjoint recovery of superconvergent linear functionals from Galerkin approximations. The one-dimensional case