509.604 PEOPLE
| 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
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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
A Non-monotone Conjugate Subgradient Type Method for Minimization of Convex Functions
Abstract
We suggest a conjugate subgradient type method without any line search for minimization of convex non-differentiable functions. Unlike the custom methods of this class, it does not require monotone decrease in the goal function and reduces the implementation cost of each iteration essentially. At the same time, its step-size procedure takes into account behavior of the method along the iteration points. The preliminary results of computational experiments confirm the efficiency of the proposed modification.
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