arbiter
JournalsPricingAccount

General inertial proximal gradient method with gradient extrapolation for nonconvex nonsmooth optimization problems

Tanxing Wang et al.

Computational Optimization and Applications2026https://doi.org/10.1007/s10589-026-00772-6article
AJG 3
Weight
0.50

What the paper says

No abstract available.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1007/s10589-026-00772-6

Or copy a formatted citation

@article{tanxing2026,
  title        = {{General inertial proximal gradient method with gradient extrapolation for nonconvex nonsmooth optimization problems}},
  author       = {Tanxing Wang et al.},
  journal      = {Computational Optimization and Applications},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10589-026-00772-6},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

General inertial proximal gradient method with gradient extrapolation for nonconvex nonsmooth optimization problems

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.