A posteriori error estimators for linear reduced order models using Krylov-based integrators
نویسندگان
چکیده
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 c © 2014 John Wiley & Sons, Ltd.
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تاریخ انتشار 2014