First-order system least squares for second-order partial differential equations: part I
SIAM Journal on Numerical Analysis - Special issue: the articles in this issue are dedicated to Seymour V. Parter
Least-squares mixed finite elements for second-order elliptic problems
SIAM Journal on Numerical Analysis
A convergent adaptive algorithm for Poisson's equation
SIAM Journal on Numerical Analysis
A posteriori error estimate for the mixed finite element method
Mathematics of Computation
A least-squares approach based on a discrete minus one inner product for first order systems
Mathematics of Computation
First-Order System Least Squares for the Stokes Equations, with Application to Linear Elasticity
SIAM Journal on Numerical Analysis
Finite Element Method for Elliptic Problems
Finite Element Method for Elliptic Problems
Convergence of Adaptive Finite Element Methods
SIAM Review
Adaptive Finite Element Methods with convergence rates
Numerische Mathematik
An Adaptive Least-Squares Mixed Finite Element Method for Elasto-Plasticity
SIAM Journal on Numerical Analysis
Goal-Oriented Local A Posteriori Error Estimators for H(div) Least-Squares Finite Element Methods
SIAM Journal on Numerical Analysis
Hi-index | 7.29 |
In this paper, we propose a posteriori error estimators for certain quantities of interest for a first-order least-squares finite element method. In particular, we propose an a posteriori error estimator for when one is interested in @?@s-@s"h@?"0 where @s=-A@?u. Our a posteriori error estimators are obtained by assigning proper weight (in terms of local mesh size h"T) to the terms of the least-squares functional. An a posteriori error analysis yields reliable and efficient estimates based on residuals. Numerical examples are presented to show the effectivity of our error estimators.