On the Properties of the Method of Minimization for Convex Functions with Relaxation on the Distance to Extremum. - Vladimir N. Krutikov; Natalia S. Samoilenko; Vladimir V. Meshechkin (Autom. Remote. Control., 2019)

Machine Learning Algorithms of Relaxation Subgradient Method with Space Extension. - Vladimir N. Krutikov; Vladimir V. Meshechkin; Elena S. Kagan; Lev A. Kazakovtsev (MOTOR, 2021)

Fuzzy Adaptive Parameter in the Dai-Liao Optimization Method Based on Neutrosophy. - Predrag S. Stanimirovic; Branislav Ivanov; Dragisa Stanujkic; Lev A. Kazakovtsev; Vladimir N. Krutikov; Darjan Karabasevic (Symmetry, 2023)

Properties of the Quadratic Transformation of Dual Variables. - Vladimir N. Krutikov; Elena M. Tovbis; Anatoly Bykov; Predrag S. Stanimirovic; Ekaterina Chernova; Lev Kazakovtsev (Algorithms, 2023)

Machine Learning in Quasi-Newton Methods. - Vladimir N. Krutikov; Elena M. Tovbis; Predrag S. Stanimirovic; Lev Kazakovtsev; Darjan Karabasevic (Axioms, 2024)