Machine learningOther
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization
A new gradient descent algorithm with adaptive randomness is proposed for global optimization of nonconvex problems, proving its effectiveness and stability with numerical examples.
Featured in No. 107 on 25 Jul 2025 · · 6 citations today · published in Communications in Mathematical Sciences
- Released
- 12 Apr 2022
- First featured
- No. 107 · 25 Jul 2025
- Citations (Semantic Scholar)
- 6
- Influential citations
- 1
- Published in
- Communications in Mathematical Sciences
- Shares when featured
- 28
- Identifier
- doi:10.4310/cms.250607105334
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).