2024/06/13 by Zhu, Ting-Ting, Hu, Rong, Fang, Ya-Ping
#FOS: Mathematics #Optimization and Control (math.OC)
paper · doi:10.48550/arxiv.2406.08836
We propose a slowly damped inertial primal-dual dynamical system controlled by a Tikhonov regularization term, where the inertial term is introduced only for the primal variable, for the linearly constrained convex optimization problem in a Hilbert space. Under mild conditions on the underlying parameters, by a Lyapunov analysis approach, we prove the strong asymptotic convergence of the trajectory of the proposed dynamic to the minimal norm element of the primal-dual solution set of the problem, along with convergence rate results for the primal-dual gap, the objective residual and the feasibility violation. We perform some numerical experiments to illustrate the theoretical findings.