Conference Proceedings
A Generalized Accelerated Gradient Optimization Method
AX Wu, IR Petersen, V Ugrinovskii, I Shames
Proceedings of the American Control Conference | Published : 2024
Abstract
In this paper, we extend the recently developed generalized heavy ball optimization algorithm by introducing an additional parameter. This yields an improved optimization algorithm which has a similar form to the triple momentum method. The global convergence of the proposed algorithm for a class of functions with sector-bounded gradients is established. This is achieved by using the circle criterion. The proposed algorithm is designed to have the best possible R-convergence rate consistent with global convergence established using the circle criterion.
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Grants
Awarded by Australian Research Council