22 citations to https://www.mathnet.ru/rus/zvmmf9648
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Jennifer Scott, Miroslav Tůma, “Solving large linear least squares problems with linear equality constraints”, Bit Numer Math, 62:4 (2022), 1765
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А. И. Жданов, “Неявная итерационная схема на основе расширенных линейных систем”, Докл. РАН. Матем., информ., проц. упр., 503 (2022), 91–94 ; A. I. Zhdanov, “Implicit iterative schemes based on augmented linear systems”, Dokl. Math., 105:2 (2022), 131–134
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Duan L.-X., Zhang G.-F., “Variant of Greedy Randomized Gauss-Seidel Method For Ridge Regression”, Numer. Math.-Theory Methods Appl., 14:3 (2021), 714–737
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Dmitriy V. Ivanov, Ilya L. Sandler, Natalya V. Chertykovtseva, Dmitriy I. Mitroshin, Olga S. Ivanova, Andrey A. Kormakov, 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), 2021, 194
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Nikolai Mishachev, Anatoly Shmyrin, Roman Popov, 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), 2020, 18
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Liu Y., Gu Ch.-Q., “Variant of Greedy Randomized Kaczmarz For Ridge Regression”, Appl. Numer. Math., 143 (2019), 223–246
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Arrabal-Campos F.M., Aguilera-Saez L.M., Fernandez I., “Algebraic Reconstruction Technique For Diffusion Nmr Experiments. Application to the Molecular Weight Prediction of Polymers”, J. Phys. Chem. A, 123:4 (2019), 943–950
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Klus S., Gelss P., “Tensor-Based Algorithms For Image Classification”, Algorithms, 12:11 (2019), 240
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Sidorov Yu.V., “Single Acceleration Methods of the Kaczmarz Algorithm Regularized Modifications”, Proceedings of the 9Th International Conference of Information and Communication Technology [Icict-2019], Procedia Computer Science, 154, ed. Patnaik S., Elsevier Science Bv, 2019, 319–326
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E. F. Galba, I. V. Sergienko, “Methods for computing weighted pseudoinverses and weighted normal pseudosolutions with singular weights”, Cybern. Syst. Anal., 54:3 (2018), 398–422