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Decision-making Thehniques are used to quantify the benefits obtained using optimethodsmart wentailsder differentheisk attituses.
We propose the use of a gradient-based minimization routine.
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Each method is used for a gradient-based optimization of a nonlinear planar beam, periodically actuated at its root, subject to a large number of structural design parameters.
The cells were automatically segmented using a modified version of a gradient-based approach described in other work (Li et al., 2007), which was adapted and parallelized to improve performance on the larger adult worms.
The discontinuous, stepwise nature of this objective function prohibits the use of any gradient-based optimization method, even if multiple starting points are used.
The purpose of the adjoint equations is to provide sensitivity information, which is afterwards used in a gradient-based minimization of a prescribed cost functional, designed to describe the far-field sound pressure level (SPL).
We use a gradient-based implementation of the history matching problem to investigate the feasibility of adopting the developed method for field-scale application.
In order to avoid abrupt variations, the power control updates of SUk at step n of the algorithm using a gradient-based approach and the corresponding power control algorithm in small increments are given by {p_{k}}(n + 1 -{p_{k}}left(n right)= mu left(gamma_{k}^{i_{k}}left(n right)- {p_{k}}left(n right)right), (34).
After validation against the boundary element method, this solution is used in a gradient-based optimization approach of the admittance distribution to maximize the broadband insertion loss in a given receiver zone.
Computed sensitivities are used within a gradient-based optimization framework for controlling the response of the microstructure.
We use a gradient-based procedure to solve the optimization problem.
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