19 citations to https://www.mathnet.ru/rus/zvmmf392
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I. E. Kaporin, “Finding Complex-Valued Solutions of Brent Equations Using Nonlinear Least Squares”, Comput. Math. and Math. Phys., 64:9 (2024), 1881
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Igor Kaporin, Communications in Computer and Information Science, 1739, Advances in Optimization and Applications, 2022, 3
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Igor Kaporin, Lecture Notes in Computer Science, 13078, Optimization and Applications, 2021, 217
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Kaporin I., “Preconditioned Subspace Descent Methods For the Solution of Nonlinear Systems of Equations”, Optimization and Applications, Optima 2019, Communications in Computer and Information Science, 1145, ed. Jacimovic M. Khachay M. Malkova V. Posypkin M., Springer International Publishing Ag, 2020, 164–179
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Kaporin I., “Preconditioned Subspace Descent Method For Nonlinear Systems of Equations”, Open Comput. Sci., 10:1 (2020), 71–81
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Espig M., Hackbusch W., Litvinenko A., Matthies H.G., Zander E., “Iterative Algorithms For the Post-Processing of High-Dimensional Data”, J. Comput. Phys., 410 (2020), 109396
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Igor Kaporin, Lecture Notes in Computer Science, 12422, Optimization and Applications, 2020, 184
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Georgieva I., Hofreither C., “Greedy Low-Rank Approximation in Tucker Format of Solutions of Tensor Linear Systems”, J. Comput. Appl. Math., 358 (2019), 206–220
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Vannieuwenhoven N., “Condition Numbers For the Tensor Rank Decomposition”, Linear Alg. Appl., 535 (2017), 35–86
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Vannieuwenhoven N., Meerbergen K., Vandebril R., “Computing the Gradient in Optimization Algorithms For the Cp Decomposition in Constant Memory Through Tensor Blocking”, SIAM J. Sci. Comput., 37:3 (2015), C415–C438