Autor: |
Zoltan Papp, Sanja Rapajić, Abdulkarim Hassan Ibrahim, Supak Phiangsungnoen |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-18 (2024) |
Druh dokumentu: |
article |
ISSN: |
1029-242X |
DOI: |
10.1186/s13660-024-03187-1 |
Popis: |
Abstract We propose two hybrid methods for solving large-scale monotone systems, which are based on derivative-free conjugate gradient approach and hyperplane projection technique. The conjugate gradient approach is efficient for large-scale systems due to low memory, while projection strategy is suitable for monotone equations because it enables simply globalization. The derivative-free function-value-based line search is combined with Hu-Storey type search directions and projection procedure, in order to construct globally convergent methods. Furthermore, the proposed methods are applied into solving a number of large-scale monotone nonlinear systems and reconstruction of sparse signals. Numerical experiments indicate the robustness of the proposed methods. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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