An interior proximal gradient method for nonconvex optimization
We consider structured minimization problems subject to smooth inequality constraints and present a flexible algorithm that combines interior point (IP) and proximal gradient schemes. While traditional IP methods cannot cope with nonsmooth objective functions and proximal algorithms cannot handle co...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Université de Montpellier
2024-07-01
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| Series: | Open Journal of Mathematical Optimization |
| Subjects: | |
| Online Access: | https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.30/ |
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