Newtonian Property of Subgradient Method with Optimization of Metric Matrix Parameter Correction by Elena Tovbis, Vladimir Krutikov, Lev Kazakovtsev

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On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient by Vladimir Krutikov, Elena Tovbis, Predrag Stanimirović, Lev Kazakovtsev

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Machine Learning in Quasi-Newton Methods by Vladimir Krutikov, Elena Tovbis, Predrag Stanimirović, Lev Kazakovtsev, Darjan Karabašević

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Gradient Method with Step Adaptation by Vladimir Krutikov, Elena Tovbis, Svetlana Gutova, Ivan Rozhnov, Lev Kazakovtsev

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Relaxation Subgradient Algorithms with Machine Learning Procedures by Vladimir Krutikov, Svetlana Gutova, Elena Tovbis, Lev Kazakovtsev, Eugene Semenkin

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A Family of Multi-Step Subgradient Minimization Methods by Elena Tovbis, Vladimir Krutikov, Predrag Stanimirović, Vladimir Meshechkin, Aleksey Popov, Lev Kazakovtsev

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Properties of the Quadratic Transformation of Dual Variables by Vladimir Krutikov, Elena Tovbis, Anatoly Bykov, Predrag Stanimirovic, Ekaterina Chernova, Lev Kazakovtsev

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