Accelerated Gradient Methods Combining Tikhonov Regularization with Geometric Damping Driven by the Hessian

In a Hilbert framework, for general convex differentiable optimization, we consider accelerated gradient dynamics combining Tikhonov regularization with Hessian-driven damping. The temporal discretization of these dynamics leads to a new class of first-order optimization algorithms with favorable pr...

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