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This study utilized the adjoint method to determine detection sensitivity profiles for an optical collection fiber.
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Use the adjoint method to compute the gradient of the log likelihood function from a Kalman filter.
The adjoint method is then utilized to efficiently derive its gradient.
The optimization problem is analyzed using the adjoint method to obtain the adjoint sensitivity.
The corresponding sensitivity number is derived using the adjoint method.
Sensitivities are evaluated by using the adjoint method.
In this paper, a propeller design method based on the adjoint method is presented.
However, the adjoint method is very efficient regardless of the number of design variables since one additional time integration is required for the adjoint GLE.
In aerodynamic optimization, the adjoint method is used to compute the gradient of the objective function.
The adjoint method for the inverse design of continuum processes is adopted.
Sensitivity analysis of the general displacement functional is derived using the adjoint method.
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