Automatic adjoint differentiation for gradient descent and model calibration
2020
In this work, we discuss the Automatic Adjoint Differentiation (AAD) for functions of the form G = 1 2∑1m(Ey i − Ci)2, which often appear in the calibration of stochastic models. We demonstrate tha...
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