Periodic Adjoint Sensitivity Analysis
Julian Sarpe, Andreas Klaedtke, Herbert De Gersem

TL;DR
This paper introduces a novel method combining periodic Parareal algorithms with a modified adjoint sensitivity analysis to efficiently compute sensitivities in steady-state, time-periodic nonlinear circuits.
Contribution
It presents a new approach that integrates periodic Parareal methods with a modified transient adjoint formulation for improved efficiency.
Findings
Efficient sensitivity analysis for steady-state periodic circuits.
Integration of Parareal with adjoint methods reduces computational cost.
Validated approach for nonlinear circuit applications.
Abstract
This paper proposes the utilization of a periodic Parareal with a periodic coarse problem to efficiently perform adjoint sensitivity analysis for the steady state of time-periodic nonlinear circuits. In order to implement this method, a modified formulation for adjoint sensitivity analysis based on the transient approach is derived.
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Taxonomy
TopicsMulti-Criteria Decision Making
