Dmitri E. Kvasov, Yaroslav D. Sergeyev, Encyclopedia of Optimization, 2023, 1
Yaroslav D. Sergeyev, Maria Chiara Nasso, Marat S. Mukhametzhanov, Dmitri E. Kvasov, “Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives”, Journal of Computational and Applied Mathematics, 383, 2021, 113134
Dmitri E. Kvasov, Yaroslav D. Sergeyev, “A univariate global search working with a set of Lipschitz constants for the first derivative”, Optim Lett, 3, № 2, 2009, 303
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Wiley Encyclopedia of Operations Research and Management Science, 2011
Dmitri E. Kvasov, Yaroslav D. Sergeyev, “Lipschitz gradients for global optimization in a one-point-based partitioning scheme”, Journal of Computational and Applied Mathematics, 236, № 16, 2012, 4042
L. G. Casado, I. GarcÍa, Ya. D. Sergeyev, “Interval Algorithms for Finding the Minimal Root in a Set of Multiextremal One-Dimensional Nondifferentiable Functions”, SIAM J. Sci. Comput., 24, № 2, 2002, 359
Dmitri E. Kvasov, Marat S. Mukhametzhanov, Maria Chiara Nasso, Yaroslav D. Sergeyev, 11974, Numerical Computations: Theory and Algorithms, 2020, 413
Ibraheem Alolyan, “A new exclusion test for finding the global minimum”, Journal of Computational and Applied Mathematics, 200, № 2, 2007, 491
Marek J. Smietanski, “A nonsmooth version of the univariate optimization algorithm for locating the nearest extremum (locating extremum in nonsmooth univariate optimization)”, centr.eur.j.math., 6, № 3, 2008, 469
Dmitri E. Kvasov, Yaroslav D. Sergeyev, “Deterministic approaches for solving practical black-box global optimization problems”, Advances in Engineering Software, 80, 2015, 58