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math.OC2025
A Riemannian AdaGrad-Norm Method
Glaydston de C. Bento, Geovani N. Grapiglia, Mauricio S. Louzeiro +1
We propose a manifold AdaGrad-Norm method (\textsc{MAdaGrad}), which extends the norm version of AdaGrad (AdaGrad-Norm) to Riemannian optimization. In contrast to line-search schem…
math.OC2025
A scalable sequential adaptive cubic regularization algorithm for optimization with general equality constraints
Yonggang Pei, Yubing Lin, Shuai Shao +2
The scalable adaptive cubic regularization method (: Dussault et al. in Math. Program. Ser. A 207(1-2): 191-225, 2024) has been recently proposed for unconstrain…