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Accelerated gradient based optimization using adjoint sensitivities

An electromagnetic feasible adjoint sensitivity technique (EM-FAST) has been proposed recently for use with frequency-domain solvers . It makes the implementation of the adjoint variable approach to design sensitivity analysis straightforward while preserving the accuracy at a level comparable to th...

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Published in:IEEE transactions on antennas and propagation 2004-08, Vol.52 (8), p.2147-2157
Main Authors: Nikolova, N.K., Safian, R., Soliman, E.A., Bakr, M.H., Bandler, J.W.
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cited_by cdi_FETCH-LOGICAL-c390t-4357288a0c23cc339a4afd0b25084e3e73a7f5d8584ce94133006d9908cf801a3
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container_end_page 2157
container_issue 8
container_start_page 2147
container_title IEEE transactions on antennas and propagation
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creator Nikolova, N.K.
Safian, R.
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description An electromagnetic feasible adjoint sensitivity technique (EM-FAST) has been proposed recently for use with frequency-domain solvers . It makes the implementation of the adjoint variable approach to design sensitivity analysis straightforward while preserving the accuracy at a level comparable to that of the exact sensitivities. The overhead computations associated with the estimation of the sensitivities in addition to the system analysis are due largely to the calculation of the derivatives of the system matrix. Here, we describe the integration of the EM-FAST with two methods for accelerated estimation of these derivatives: the boundary-layer concept and the Broyden update. We show that the Broyden update approach (Broyden-FAST) leads to an algorithm whose efficiency is problem independent and allows the computation of the response and its gradient through a single system analysis with practically no overhead. Both approaches are illustrated through the design of simple antennas using method of moments solvers.
doi_str_mv 10.1109/TAP.2004.832313
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subjects Acceleration
Adjoints
Algorithm design and analysis
Antennas
Associate members
Boundaries
Computational efficiency
Derivatives
Design engineering
Design methodology
Frequency domain analysis
Integral equations
Linear systems
Moment methods
Sensitivity analysis
Solvers
Systems analysis
Transmission line matrix methods
title Accelerated gradient based optimization using adjoint sensitivities
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