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A constraint-based approach to function interpolation, with application to performance estimation for weakly convex optimization.

Anne Rubbens & Julien M. Hendrickx

Mathematical Programming2026https://doi.org/10.1007/s10107-026-02353-1article
AJG 4
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0.50

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https://doi.org/https://doi.org/10.1007/s10107-026-02353-1

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@article{anne2026,
  title        = {{A constraint-based approach to function interpolation, with application to performance estimation for weakly convex optimization.}},
  author       = {Anne Rubbens & Julien M. Hendrickx},
  journal      = {Mathematical Programming},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10107-026-02353-1},
}

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A constraint-based approach to function interpolation, with application to performance estimation for weakly convex optimization.

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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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