9 citations to 10.1023/A:1014063303984 (Crossref Cited-By Service)

1. Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego, “Safe global optimization of expensive noisy black-box functions in the $\delta $-Lipschitz framework”, Soft Comput, 24, № 23, 2020, 17715  
2. A. Galántai, J. Abaffy, “Always convergent iteration methods for nonlinear equations of Lipschitz functions”, Numer Algor, 69, № 2, 2015, 443  
3. Oleg Valerievich Khamisov, “Нахождение корней нелинейного уравнения методом вогнутых опорных функций”, Математические заметки, 98, № 3, 2015, 427  
4. Dmitri E. Kvasov, Yaroslav D. Sergeyev, “Univariate geometric Lipschitz global optimization algorithms”, Numerical Algebra, Control & Optimization, 2, № 1, 2012, 69  
5. Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Dmitri E. Kvasov, Daniela Lera, “Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization”, J Optim Theory Appl, 171, № 1, 2016, 186  
6. O. V. Khamisov, “Finding roots of nonlinear equations using the method of concave support functions”, Math Notes, 98, № 3-4, 2015, 484  
7. A. Galántai, “Always convergent methods for nonlinear equations of several variables”, Numer Algor, 78, № 2, 2018, 625  
8. Daniela Lera, Yaroslav D. Sergeyev, “Acceleration of Univariate Global Optimization Algorithms Working with Lipschitz Functions and Lipschitz First Derivatives”, SIAM J. Optim., 23, № 1, 2013, 508  
9. Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov, “Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms”, Mathematics and Computers in Simulation, 141, 2017, 96