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Liang He

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Preprint Aug 2026

Inertial Primal-Dual Dynamics Methods Featuring Implicit Hessian-Driven Damping for Convex Optimization Problems in Continuous and Discrete Time

This paper investigates inertial primal-dual dynamics with implicit Hessian-driven damping for strongly convex optimization problems with linear equality constraints with fast convergence rates and derives an inertial accelerated primal-dual algorithm for solving the strongly convex optimization problems.

Xiangkai Sun, Zeying Gao, Liang He et al. · 0 citations

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