New inertial forward–backward algorithm for convex minimization with applications
In this work, we present a new proximal gradient algorithm based on Tseng’s extragradient method and an inertial technique to solve the convex minimization problem in real Hilbert spaces. Using the stepsize rules, the selection of the Lipschitz constant of the gradient of functions is avoided. We th...
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| Published in: | Demonstratio mathematica Vol. 56; no. 1; pp. 1168 - 1200 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
De Gruyter
15.02.2023
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| Subjects: | |
| ISSN: | 2391-4661, 2391-4661 |
| Online Access: | Get full text |
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