Improved Least-squares Error Estimates for Scalar Hyperbolic Problems

Author:

Bochev P.B.1,Choi J.1

Affiliation:

1. 1Department of Mathematics, The University of Texas at Arlington, Box 19408, Arlington, TX 76019-0408.

Abstract

AbstractWe consider an L_2-norm least-squares principle for a scalar hyperbolic problem. A proper variational framework for the associated finite element method is developed and studied. Analysis of the discretization error based on the least-squares projection property shows a gap of one. This number cannot be improved with a standard duality argument because the least-squares dual does not possess full elliptic regularity. Using a perturbed dual problem we are able to show that the actual gap of the least-squares method in the constant convection case is not worse than 2/3.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Computational Mathematics,Numerical Analysis

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