An adjoint-based approach to computing the time-domain sensitivity of systems described by reduced-order models

Abstract

This paper describes an algorithm for computing time-domain sensitivities via the adjoint analysis principal. The key feature in the proposed algorithm stems from enabling the application of the adjoint sensitivity in computing sensitivities of large linear systems represented through model-order reduction techniques. 

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