Anatoly Zhigljavsky

23 papers Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
An exterior algebra approach to generalised variances and cross-covariances.
Soft Comput.
Henry P. Wynn, Anatoly Zhigljavsky
2024 J jnl
Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms.
J. Glob. Optim.
Jack Noonan, Anatoly Zhigljavsky
2023 J jnl
Polynomial whitening for high-dimensional data.
Comput. Stat.
Jonathan Gillard, Emily O'Riordan, Anatoly Zhigljavsky
2022 J jnl
Efficient Quantisation and Weak Covering of High Dimensional Cubes.
Discret. Comput. Geom.
Jack Noonan, Anatoly Zhigljavsky
2021 J jnl
Approximations for the boundary crossing probabilities of moving sums of normal random variables.
Commun. Stat. Simul. Comput.
Jack Noonan, Anatoly Zhigljavsky
2021 J jnl
Foreword to the virtual special issue dedicated to the 3rd International Conference NUMTA 2019 "Numerical Computations: Theory and Algorithms".
J. Comput. Appl. Math.
Luigi Brugnano, Yaroslav D. Sergeyev, Anatoly Zhigljavsky
2021 J jnl
Minimum-energy measures for singular kernels.
J. Comput. Appl. Math.
Luc Pronzato, Anatoly Zhigljavsky
2021 J jnl
Multistart with early termination of descents.
J. Glob. Optim.
Antanas Zilinskas, Jonathan Gillard, Megan Scammell, Anatoly Zhigljavsky
2021 J jnl
Quasi-uniform designs with optimal and near-optimal uniformity constant.
CoRR
Luc Pronzato, Anatoly Zhigljavsky
2021 J jnl
Reproducing kernel Hilbert spaces, polynomials and the classical moment problems.
CoRR
Holger Dette, Anatoly Zhigljavsky
2020 J jnl
Bayesian Quadrature, Energy Minimization, and Space-Filling Design.
SIAM/ASA J. Uncertain. Quantification
Luc Pronzato, Anatoly Zhigljavsky
2020 J jnl
Covering of High-Dimensional Cubes and Quantization.
Oper. Res. Forum
Anatoly Zhigljavsky, Jack Noonan
2020 J jnl
Discrete uniform and binomial distributions with infinite support.
Soft Comput.
Andrey Pepelyshev, Anatoly Zhigljavsky
2019 J jnl
Blind deconvolution of covariance matrix inverses for autoregressive processes.
CoRR
Nina Golyandina, Anatoly Zhigljavsky
2019 J jnl
Measures Minimizing Regularized Dispersion.
J. Sci. Comput.
Luc Pronzato, Anatoly Zhigljavsky
2019 J jnl
Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems.
Optim. Lett.
Anatoly Zhigljavsky, Antanas Zilinskas
2018 J jnl
Guest editors' preface to the special issue devoted to the 2nd International Conference "Numerical Computations: Theory and Algorithms", June 19-25, 2016, Pizzo Calabro, Italy.
J. Glob. Optim.
Renato De Leone, Yaroslav D. Sergeyev, Anatoly Zhigljavsky
2018 J jnl
Optimal estimation of direction in regression models with large number of parameters.
Appl. Math. Comput.
Jonathan Gillard, Anatoly Zhigljavsky
2018 J jnl
Performance of global random search algorithms for large dimensions.
J. Glob. Optim.
Andrey Pepelyshev, Anatoly Zhigljavsky, Antanas Zilinskas
2016 — book
Advances in Stochastic and Deterministic Global Optimization.
Panos M. Pardalos, Anatoly Zhigljavsky, Julius Zilinskas
2016 J jnl
Branch and probability bound methods in multi-objective optimization.
Optim. Lett.
Antanas Zilinskas, Anatoly Zhigljavsky
2016 — ch.
Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration.
Advances in Stochastic and Deterministic Global Optimization
Gareth Davies, Jonathan Gillard, Anatoly Zhigljavsky
2016 J jnl
Stochastic Global Optimization: A Review on the Occasion of 25 Years of Informatica.
Informatica
Antanas Zilinskas, Anatoly Zhigljavsky