随机初级-双元混合梯度算法与自适应式步骤大小

Antonin Chambolle1,2, Claire Delplancke3, Matthias J Ehrhardt4

  • 1CEREMADE, Université Paris-Dauphine, Place du Maréchal De Lattre De Tassigny, 75775 Paris, France.

Journal of mathematical imaging and vision
|December 13, 2024
PubMed
概括

本研究介绍了随机初级-双元混合梯度 (SPDHG) 算法的适应性步骤大小,改进了大规模的凸式优化. 新的自适应式SPDHG (A-SPDHG) 确保了融合,并为增强性能提供了实用的参数选择.

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