The multiple greedy PSB method with faster superlinear convergence rate

Min Du & Zexian Liu

Optimization2026https://doi.org/10.1080/02331934.2026.2615215article
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https://doi.org/https://doi.org/10.1080/02331934.2026.2615215

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@article{min2026,
  title        = {{The multiple greedy PSB method with faster superlinear convergence rate}},
  author       = {Min Du & Zexian Liu},
  journal      = {Optimization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/02331934.2026.2615215},
}

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The multiple greedy PSB method with faster superlinear convergence rate

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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

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