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Forward-reflected-backward and shadow-Douglas-Rachford with partial inverse for solving monotone inclusions

Roldán, Fernando - In: Mathematical methods of operations research : ZOR 100 (2024) 3, pp. 723-752

Persistent link: https://www.econbiz.de/10015195208

The proximal alternating direction method of multipliers in the nonconvex setting : convergence analysis and rates

Boţ, Radu Ioan; Nguyen, Dang-Khoa - In: Mathematics of operations research 45 (2020) 2, pp. 682-712

Persistent link: https://www.econbiz.de/10012242535

Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach

Gu, Guoyong; He, Bingsheng; Yuan, Xiaoming - In: Computational Optimization and Applications 59 (2014) 1, pp. 135-161

This paper focuses on some customized applications of the proximal point algorithm (PPA) to two classes of problems: the convex minimization problem with linear constraints and a generic or separable objective function, and a saddle-point problem. We treat these two classes of problems uniformly...

Persistent link: https://www.econbiz.de/10010937793