Swarm-based inertial methods derived from the Onsager principle achieve provable O(1/δ(t)) asymptotic convergence rates for global minimization with structure-preserving discretizations.
First-order optimization algorithms via inertial systems with hessian driven damping.Mathematical Programming, 193(1):113–155
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Swarm-Based Inertial Methods for Optimization
Swarm-based inertial methods derived from the Onsager principle achieve provable O(1/δ(t)) asymptotic convergence rates for global minimization with structure-preserving discretizations.