An Algorithmic Framework of Generalized Primal–Dual Hybrid Gradient Methods for Saddle Point Problems

Research article (Journal of Mathematical Imaging and Vision, 2017) · cited 40× · AI/ML
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An Algorithmic Framework of Generalized Primal–Dual Hybrid Gradient Methods for Saddle Point Problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Algorithmic Framework of Generalized Primal–Dual Hybrid Gradient Methods for Saddle Point Problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-algorithmic-framework-of-generalized-primaldual-hybrid-gradient-methods-for-saddle-point-problems
MLA “An Algorithmic Framework of Generalized Primal–Dual Hybrid Gradient Methods for Saddle Point Problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-algorithmic-framework-of-generalized-primaldual-hybrid-gradient-methods-for-saddle-point-problems.
BibTeX @misc{4ortxyz_an-algorithmic-framework-of-generalized-primaldual-hybrid-gradient-methods-for-saddle-point-problems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Algorithmic Framework of Generalized Primal–Dual Hybrid Gradient Methods for Saddle Point Problems}}, year = {2026}, url = {https://4ort.xyz/entity/an-algorithmic-framework-of-generalized-primaldual-hybrid-gradient-methods-for-saddle-point-problems}, note = {Accessed: 2026-05-24}}
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