- 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
- Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov, 1738, 2016, 400004
- Remigijus Paulavičius, Julius Žilinskas, “Advantages of simplicial partitioning for Lipschitz optimization problems with linear constraints”, Optim Lett, 10, no. 2, 2016, 237
- Emre Mengi, E. Alper Yildirim, Mustafa Kiliç, “Numerical Optimization of Eigenvalues of Hermitian Matrix Functions”, SIAM J. Matrix Anal. & Appl., 35, no. 2, 2014, 699
- Remigijus Paulavičius, Julius Žilinskas, Simplicial Global Optimization, 2014, 61
- Guo-Peng Bai, Guo-Kang Er, Vai Pan Iu, Chi Chiu Lam, “Optimization-Oriented EPC Approach for Analyzing the Stochastic Nonlinear Oscillators with Displacement-Multiplicative and Additive Excitations”, Int. J. Appl. Mechanics, 16, no. 01, 2024, 2450011
- Yaroslav D. Sergeyev, Roman G. Strongin, Daniela Lera, Introduction to Global Optimization Exploiting Space-Filling Curves, 2013, 47
- Mikhail Posypkin, Oleg Khamisov, “Automatic Convexity Deduction for Efficient Function’s Range Bounding”, Mathematics, 9, no. 2, 2021, 134
- Remigijus Paulavičius, Lakhdar Chiter, Julius Žilinskas, “Global optimization based on bisection of rectangles, function values at diagonals, and a set of Lipschitz constants”, J Glob Optim, 71, no. 1, 2018, 5