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, no. 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, no. 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, no. 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, no. 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, no. 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