Search Results - subject:"Block coordinate descent"

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On the convergence of inexact alternate minimization in problems with l0 penalties

Lapucci, Matteo; Sortino, Alessio - In: Operations research forum 5 (2024) 2, pp. 1-11

Persistent link: https://www.econbiz.de/10015179777

Least squares Monte Carlo and pathwise optimization for merchant energy production

Yang, Bo; Nadarajah, Selvaprabu; Secomandi, Nicola - In: Operations research 72 (2024) 6, pp. 2758-2775

Persistent link: https://www.econbiz.de/10015371559

Integrating alternating direction method of multipliers and bush for solving the traffic assignment problem

Liu, Zhiyuan; Zhang, Honggang; Zhang, Kai; Zhou, Zihan - In: Transportation research / E : an international journal 177 (2023), pp. 1-22

Persistent link: https://www.econbiz.de/10014419335

A block successive upper-bound minimization method of multipliers for linearly constrained convex optimization

Hong, Mingyi; Chang, Tsung-Hui; Wang, Xiangfeng; … - In: Mathematics of operations research 45 (2020) 3, pp. 833-861

Persistent link: https://www.econbiz.de/10012293356

Fix-and-relax approaches for controlled tabular adjustment

Baena, Daniel; Castro, Jordi; González, José A. - In: Computers & operations research : and their … 58 (2015), pp. 41-52

Persistent link: https://www.econbiz.de/10010509423

Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework

Kim, Jingu; He, Yunlong; Park, Haesun - In: Journal of Global Optimization 58 (2014) 2, pp. 285-319

) from a unified view based on the block coordinate descent (BCD) framework. NMF and NTF are low-rank approximation methods …

Persistent link: https://www.econbiz.de/10010896402

On the convergence of inexact block coordinate descent methods for constrained optimization

Cassioli, A.; Di Lorenzo, D.; Sciandrone, M. - In: European Journal of Operational Research 231 (2013) 2, pp. 274-281

coordinate descent methods (possibly combined with column generation strategies). We define a general decomposition framework … compact sets. We assume that the dimension of each factor set is huge, so we are interested in studying inexact block …

Persistent link: https://www.econbiz.de/10010682477