Mirror descent for constrained optimization problems with large subgradient values of functional constraints

Research article (Computer Research and Modeling, 2020) · cited 12× · AI/ML
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Mirror descent for constrained optimization problems with large subgradient values of functional constraints is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Mirror descent for constrained optimization problems with large subgradient values of functional constraints. Retrieved May 24, 2026, from https://4ort.xyz/entity/mirror-descent-for-constrained-optimization-problems-with-large-subgradient-values-of-functional-constraints
MLA “Mirror descent for constrained optimization problems with large subgradient values of functional constraints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mirror-descent-for-constrained-optimization-problems-with-large-subgradient-values-of-functional-constraints.
BibTeX @misc{4ortxyz_mirror-descent-for-constrained-optimization-problems-with-large-subgradient-values-of-functional-constraints_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mirror descent for constrained optimization problems with large subgradient values of functional constraints}}, year = {2026}, url = {https://4ort.xyz/entity/mirror-descent-for-constrained-optimization-problems-with-large-subgradient-values-of-functional-constraints}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mirror descent for constrained optimization problems with large subgradient values of functional constraints — https://4ort.xyz/entity/mirror-descent-for-constrained-optimization-problems-with-large-subgradient-values-of-functional-constraints (retrieved 2026-05-24)

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