11 citations to https://www.mathnet.ru/rus/tm3531
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Wan Li, Man Lu, Peixin Ye, Wenhui Zhang, “Stability of Weak Rescaled Pure Greedy Algorithms”, Axioms, 14:6 (2025), 446
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Erwan Fouillen, Claire Boyer, Maxime Sangnier, “Proximal boosting: Aggregating weak learners to minimize non-differentiable losses”, Neurocomputing, 520 (2023), 301
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A. V. Dereventsov, V. N. Temlyakov, “Biorthogonal Greedy Algorithms in convex optimization”, Appl. Comput. Harmon. Anal., 60 (2022), 489–511
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Wenhui Zhang, Peixin Ye, Shuo Xing, Xu Xu, “Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms”, Axioms, 11:9 (2022), 437
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Zh. Gao, G. Petrova, “Rescaled pure greedy algorithm for convex optimization”, Calcolo, 56:2 (2019), UNSP 15
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H. Nguyen, G. Petrova, “Greedy strategies for convex optimization”, Calcolo, 54:1 (2017), 207–224
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R. A. DeVore, V. N. Temlyakov, “Convex optimization on Banach spaces”, Found. Comput. Math., 16:2 (2016), 369–394
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В. Н. Темляков, “Сходимость и скорость сходимости некоторых гриди-алгоритмов в выпуклой оптимизации”, Функциональные пространства, теория приближений, смежные разделы математического анализа, Сборник статей. К 110-летию со дня рождения академика Сергея Михайловича Никольского, Труды МИАН, 293, МАИК «Наука/Интерпериодика», М., 2016, 333–345
; V. N. Temlyakov, “Convergence and rate of convergence of some greedy algorithms in convex optimization”, Proc. Steklov Inst. Math., 293 (2016), 325–337
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V. N. Temlyakov, “Dictionary descent in optimization”, Anal. Math., 42:1 (2016), 69–89
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V. N. Temlyakov, “Greedy approximation in convex optimization”, Constr. Approx., 41:2 (2015), 269–296