Tikhonov regularization of a second order dynamical system with Hessian driven damping
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Abstract (arXiv)
We investigate the asymptotic properties of the trajectories generated by a second-order dynamical system with Hessian driven damping and a Tikhonov regularization term in connection with the minimization of a smooth convex function in Hilbert spaces. We obtain fast convergence results for the function values along the trajectories. The Tikhonov regularization term enables the derivation of strong convergence results of the trajectory to the minimizer of the objective function of minimum norm.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 28 Nov 2019.
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1 paper.
- 2021Inertial Newton Algorithms Avoiding Strict Saddle Pointscited by 2
- 2021Inertial Newton Algorithms Avoiding Strict Saddle Points8 Nov 2021