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Author

Hu Shao

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Preprint Oct 2026

A Bregman proximal linearized ADMM for fractional programming with nonlinear coupling constraints

This paper considers a nonconvex fractional optimization problem with composite structure and nonlinear equality constraints. We reformulate the problem as a non-fractional min-max problem with corresponding optimal solutions. By linearizing the nonlinear constraint terms in the augmented Lagrangian and incorporating B...

Peng-Jie Liu, Jin-Hua Chen, Minh N. Dao et al. · 0 citations
Aug 2026

Stochastic ADMM with Balanced Augmented Lagrangian Method for Nonconvex and Nonsmooth Finite-Sum Optimization

In this paper, we propose a balanced augmented Lagrangian method based on accelerated stochastic ADMM (b-ASADMM) to efficiently solve structured separable nonconvex optimization problems subject to linear constraints. The objective function in this problem comprises potentially nonsmooth and smooth functions, where the...

Qiaoling Zhang, Chuang Yang, Hu Shao · 0 citations

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