4.6 Article

A POSTERIORI ANALYSIS AND ADAPTIVE ERROR CONTROL FOR MULTISCALE OPERATOR DECOMPOSITION SOLUTION OF ELLIPTIC SYSTEMS I: TRIANGULAR SYSTEMS

Journal

SIAM JOURNAL ON NUMERICAL ANALYSIS
Volume 47, Issue 1, Pages 740-761

Publisher

SIAM PUBLICATIONS
DOI: 10.1137/070689917

Keywords

a posteriori error analysis; adjoint problem; elliptic system; generalized Green's function; goal-oriented error estimates; multiscale methods; operator decomposition; projection error

Funding

  1. Department of Energy [DE-FG02-04ER25620, DE-FG02-05ER25699, DE-FC02-07ER54909]
  2. National Aeronautics and Space Administration [NNG04GH63G]
  3. National Science Foundation [DMS-0107832, DMS-0715135, DGE-0221595003, MSPA-CSE-0434354, ECCS-0700559]
  4. Idaho National Laboratory [00069249]
  5. Sandia Corporation [PO299784]

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In this paper, we perform an a posteriori error analysis of a multiscale operator decomposition finite element method for the solution of a system of coupled elliptic problems. The goal is to compute accurate error estimates that account for the effects arising from multiscale discretization via operator decomposition. Our approach to error estimation is based on a well-known a posteriori analysis involving variational analysis, residuals, and the generalized Green's function. Our method utilizes adjoint problems to deal with several new features arising from the multiscale operator decomposition. In part I of this paper, we focus on the propagation of errors arising from the solution of one component to another and the transfer of information between different representations of solution components. We also devise an adaptive discretization strategy based on the error estimates that specifically controls the effects arising from operator decomposition. In part II of this paper, we address issues related to the iterative solution of a fully coupled nonlinear system.

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