Anatoly Zhigljavsky

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Gaussian Random Field

International Conference

Global Optimization Problems

Markov Property

Top Venues

J. Glob. Optim.

J. Comput. Appl. Math.

Publications

Jack Noonan, Anatoly Zhigljavsky
Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms. J. Glob. Optim. 88 (1) (2024)
Jonathan Gillard, Emily O'Riordan, Anatoly Zhigljavsky
Polynomial whitening for high-dimensional data. Comput. Stat. 38 (3) (2023)
Jack Noonan, Anatoly Zhigljavsky
Efficient Quantisation and Weak Covering of High Dimensional Cubes. Discret. Comput. Geom. 68 (2) (2022)
Luigi Brugnano, Yaroslav D. Sergeyev, Anatoly Zhigljavsky
Foreword to the virtual special issue dedicated to the 3rd International Conference NUMTA 2019 "Numerical Computations: Theory and Algorithms". J. Comput. Appl. Math. 393 (2021)
Antanas Zilinskas, Jonathan Gillard, Megan Scammell, Anatoly Zhigljavsky
Multistart with early termination of descents. J. Glob. Optim. 79 (2) (2021)
Holger Dette, Anatoly Zhigljavsky
Reproducing kernel Hilbert spaces, polynomials and the classical moment problems. CoRR (2021)
Luc Pronzato, Anatoly Zhigljavsky
Minimum-energy measures for singular kernels. J. Comput. Appl. Math. 382 (2021)
Jack Noonan, Anatoly Zhigljavsky
Approximations for the boundary crossing probabilities of moving sums of normal random variables. Commun. Stat. Simul. Comput. 50 (11) (2021)
Luc Pronzato, Anatoly Zhigljavsky
Quasi-uniform designs with optimal and near-optimal uniformity constant. CoRR (2021)
Andrey Pepelyshev, Anatoly Zhigljavsky
Discrete uniform and binomial distributions with infinite support. Soft Comput. 24 (23) (2020)
Luc Pronzato, Anatoly Zhigljavsky
Bayesian Quadrature, Energy Minimization, and Space-Filling Design. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Anatoly Zhigljavsky, Jack Noonan
Covering of High-Dimensional Cubes and Quantization. Oper. Res. Forum 1 (3) (2020)
Nina Golyandina, Anatoly Zhigljavsky
Blind deconvolution of covariance matrix inverses for autoregressive processes. CoRR (2019)
Anatoly Zhigljavsky, Antanas Zilinskas
Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems. Optim. Lett. 13 (2) (2019)
Luc Pronzato, Anatoly Zhigljavsky
Measures Minimizing Regularized Dispersion. J. Sci. Comput. 78 (3) (2019)
Jonathan Gillard, Anatoly Zhigljavsky
Optimal estimation of direction in regression models with large number of parameters. Appl. Math. Comput. 318 (2018)
Andrey Pepelyshev, Anatoly Zhigljavsky, Antanas Zilinskas
Performance of global random search algorithms for large dimensions. J. Glob. Optim. 71 (1) (2018)
Renato De Leone, Yaroslav D. Sergeyev, Anatoly Zhigljavsky
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. 71 (1) (2018)
Antanas Zilinskas, Anatoly Zhigljavsky
Branch and probability bound methods in multi-objective optimization. Optim. Lett. 10 (2) (2016)
Antanas Zilinskas, Anatoly Zhigljavsky
Stochastic Global Optimization: A Review on the Occasion of 25 Years of Informatica. Informatica 27 (2) (2016)