A posteriori error estimators for linear reduced‐order models using Krylov‐based integrators
Abstract
Reduced‐order models for linear time‐invariant dynamical systems are considered, and the error between the full‐order model and the reduced‐order model solutions is characterized. Based on the analytical representation of the error, an a posteriori error indicator is proposed that combines a Krylov‐based exponential integrator and an a posteriori residual‐based estimate. Numerical experiments illustrate the quality of the error estimator. Copyright © 2014 John Wiley & Sons, Ltd.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 15, 2014
- Source ID
- 10.1002/nme.4753
Entities
People
- D. Amsallem
- U. Hetmaniuk
Organizations
- Office of Naval Research
- Stanford University
- University of Washington