| People | Locations | Statistics |
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| Mouftah, Hussein T. |
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| Dugay, Fabrice |
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| Rettenmeier, Max |
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| Tomasch, Ernst | Graz |
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| Cornaggia, Greta |
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| Palacios-Navarro, Guillermo |
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| Uspenskyi, Borys V. |
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| Khan, Baseem |
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| Fediai, Natalia |
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| Derakhshan, Shadi |
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| Somers, Bart | Eindhoven |
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| Anvari, B. |
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| Kraushaar, Sabine | Vienna |
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| Kehlbacher, Ariane |
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| Das, Raj |
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| Werbińska-Wojciechowska, Sylwia |
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| Brillinger, Markus |
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| Eskandari, Aref |
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| Gulliver, J. |
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| Loft, Shayne |
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| Kud, Bartosz |
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| Matijošius, Jonas | Vilnius |
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| Piontek, Dennis |
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| Kene, Raymond O. |
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| Barbosa, Juliana |
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Konnov, Igor
in Cooperation with on an Cooperation-Score of 37%
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Publications (4/4 displayed)
- 2021Variational Inequality Type Formulations of General Market Equilibrium Problems with Local Informationcitations
- 2020A Non-monotone Conjugate Subgradient Type Method for Minimization of Convex Functionscitations
- 2018Evaluating the effects of environmental regulations on a closed-loop supply chain network: a variational inequality approachcitations
- 2017An Adaptive Partial Linearization Method for Optimization Problems on Product Setscitations
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document
An Adaptive Partial Linearization Method for Optimization Problems on Product Sets
Abstract
We consider a general class of composite optimization problems where the goal function is the sum of a smooth function and a non-necessary smooth convex separable function associated with some space partition, whereas the feasible set is a Cartesian product concordant to this partition. We suggest an adaptive version of the partial linearization method, which makes selective component-wise steps satisfying some descent condition and utilizes a sequence of control parameters. This technique is destined to reduce the computational expenses per iteration and maintain the basic convergence properties. We also establish its convergence rates and describe some examples of applications. Preliminary results of computations illustrate usefulness of the new method.
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