2023
DOI: 10.1080/02331934.2023.2231957
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Tikhonov regularized iterative methods for nonlinear problems

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“…Subsequently, we utilize the Optimization.solve function from the Optimation.jl package (a unified optimization package) (Dixit and Rackauckas, 2023). This function employs reverse-mode automatic differentiation through Zygote.jl, allowing efficient computation of gradients and sensitivities required for optimizing the parameters.…”
Section: Ode Solving and Parameter Estimationmentioning
confidence: 99%
“…Subsequently, we utilize the Optimization.solve function from the Optimation.jl package (a unified optimization package) (Dixit and Rackauckas, 2023). This function employs reverse-mode automatic differentiation through Zygote.jl, allowing efficient computation of gradients and sensitivities required for optimizing the parameters.…”
Section: Ode Solving and Parameter Estimationmentioning
confidence: 99%