Unverified50% confidenceFactExact time
Adjoint sensitivity analysis, by introducing adjoint variables, requires only one additional backward equation solve to simultaneously obtain gradient information of the objective function with respect to all parameters, offering significant computational advantages over forward sensitivity analysis in high-dimensional models.
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10/8/2026
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