Achieving the Ergodically Optimal Convergence Rate for a One-Dimensional Minimization Problem. - Henry P. Wynn; Anatoly A. Zhigljavsky (J. Complex., 1995)

Blind equalization in presence of bounded errors. - Sylvie Icart; Joël Le Roux; Luc Pronzato; Eric Thierry; Anatoly A. Zhigljavsky (ICASSP, 1997)

Stochastic Analysis of Convergence via Dynamic Representation for a Class of Line-search Algorithms. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (Comb. Probab. Comput., 1997)

Dynamical Search - Applications of Dynamical Systems in Search and Optimization: Interdisciplinary Statistics. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (CRC Press, 1999)

Finite Sample Behaviour of an Ergodically Fast Line-Search Algorithm. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (Comput. Optim. Appl., 1999)

Analysis of Time Series Structure - SSA and Related Techniques. - Nina Golyandina; Vladimir Nekrutkin; Anatoly A. Zhigljavsky (Chapman & Hall, 2001)

On the distribution of Farey fractions and hyperbolic lattice points. - Martin N. Huxley; Anatoly A. Zhigljavsky (Period. Math. Hung., 2001)

Asymptotic behaviour of a family of gradient algorithms in Rd and Hilbert spaces. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (Math. Program., 2006)

Stochastic Global Optimization. - Anatoly A. Zhigljavsky; Antanas Zilinskas (Springer, 2008)

Improving updating rules in multiplicative algorithms for computing D-optimal designs. - Holger Dette; Andrey Pepelyshev; Anatoly A. Zhigljavsky (Comput. Stat. Data Anal., 2008)

Singular spectrum analysis: methodology and application to economics data. - Hossein Hassani; Anatoly A. Zhigljavsky (J. Syst. Sci. Complex., 2009)

Stopping rules in k-adaptive global random search algorithms. - Anatoly A. Zhigljavsky; Emily Hamilton (J. Glob. Optim., 2010)

Gradient algorithms for quadratic optimization with fast convergence rates. - Luc Pronzato; Anatoly A. Zhigljavsky (Comput. Optim. Appl., 2011)

Analysis of Structured Low Rank Approximation as an Optimization Problem. - Jonathan Gillard 002; Anatoly A. Zhigljavsky (Informatica, 2011)

Singular Spectrum Analysis for Time Series. - Anatoly A. Zhigljavsky (International Encyclopedia of Statistical Science, 2011)

Statistical Modelling in Market Research. - Anatoly A. Zhigljavsky (International Encyclopedia of Statistical Science, 2011)

Stochastic Global Optimization. - Anatoly A. Zhigljavsky (International Encyclopedia of Statistical Science, 2011)

Foreword: Special issue INFINITY 2010. - Renato De Leone; Yaroslav D. Sergeyev; Anatoly A. Zhigljavsky (Appl. Math. Comput., 2012)

Computing sums of conditionally convergent and divergent series using the concept of grossone. - Anatoly A. Zhigljavsky (Appl. Math. Comput., 2012)

Optimization challenges in the structured low rank approximation problem. - Jonathan Gillard 002; Anatoly A. Zhigljavsky (J. Glob. Optim., 2013)

An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost. - Anatoly A. Zhigljavsky; Luc Pronzato; Elena Bukina (Optim. Lett., 2013)

'Nearly' universally optimal designs for models with correlated observations. - Holger Dette; Andrey Pepelyshev; Anatoly A. Zhigljavsky (Comput. Stat. Data Anal., 2014)

Ya. D. Sergeyev, R. G. Strongin and D. Lera: Introduction to global optimization exploiting space-filling curves - Springer briefs in optimization, Springer, 2013, 131 pp, USD 40, £ 30. - Anatoly A. Zhigljavsky (J. Glob. Optim., 2014)

R. Paulavičius and J. Žilinskas: Simplicial global optimization - Springer briefs in optimization, Springer, 2014, 137 pp, pg USD 40, £36. - Anatoly A. Zhigljavsky (J. Glob. Optim., 2014)

Adaptive Targeting for Online Advertisement. - Andrey Pepelyshev; Yuri Staroselskiy; Anatoly A. Zhigljavsky (MOD, 2015)

Preface to the special issue NUMTA 2013. - Luigi Brugnano; Yaroslav D. Sergeyev; Anatoly A. Zhigljavsky (Commun. Nonlinear Sci. Numer. Simul., 2015)

Stochastic algorithms for solving structured low-rank matrix approximation problems. - Jonathan W. Gillard; Anatoly A. Zhigljavsky (Commun. Nonlinear Sci. Numer. Simul., 2015)

Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration. - Gareth Davies 004; Jonathan Gillard 002; Anatoly Zhigljavsky (Advances in Stochastic and Deterministic Global Optimization, 2016)

Adaptive Targeting in Online Advertisement: Models Based on Relative Influence of Factors. - Andrey Pepelyshev; Yuri Staroselskiy; Anatoly A. Zhigljavsky; Roman Guchenko (MOD, 2016)

Stochastic Global Optimization: A Review on the Occasion of 25 Years of Informatica. - Antanas Zilinskas; Anatoly Zhigljavsky (Informatica, 2016)

Weighted norms in subspace-based methods for time series analysis. - Jonathan Gillard 002; Anatoly A. Zhigljavsky (Numer. Linear Algebra Appl., 2016)

Branch and probability bound methods in multi-objective optimization. - Antanas Zilinskas; Anatoly Zhigljavsky (Optim. Lett., 2016)

Global Optimization Challenges in Structured Low Rank Approximation. - Jonathan Gillard 002; Anatoly A. Zhigljavsky (LION, 2017)

Statistical Estimation in Global Random Search Algorithms in Case of Large Dimensions. - Andrey Pepelyshev; Vladimir Kornikov; Anatoly A. Zhigljavsky (LION, 2017)

Optimal estimation of direction in regression models with large number of parameters. - Jonathan Gillard 002; Anatoly Zhigljavsky (Appl. Math. Comput., 2018)

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. - Renato De Leone; Yaroslav D. Sergeyev; Anatoly Zhigljavsky (J. Glob. Optim., 2018)

Performance of global random search algorithms for large dimensions. - Andrey Pepelyshev; Anatoly Zhigljavsky; Antanas Zilinskas (J. Glob. Optim., 2018)

Simplicial variances, potentials and Mahalanobis distances. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (J. Multivar. Anal., 2018)

Blind deconvolution of covariance matrix inverses for autoregressive processes. - Nina Golyandina; Anatoly Zhigljavsky (CoRR, 2019)

Measures Minimizing Regularized Dispersion. - Luc Pronzato; Anatoly Zhigljavsky (J. Sci. Comput., 2019)

Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems. - Anatoly Zhigljavsky; Antanas Zilinskas (Optim. Lett., 2019)

Bayesian Quadrature, Energy Minimization, and Space-Filling Design. - Luc Pronzato; Anatoly Zhigljavsky (SIAM/ASA J. Uncertain. Quantification, 2020)

Covering of High-Dimensional Cubes and Quantization. - Anatoly Zhigljavsky; Jack Noonan (Oper. Res. Forum, 2020)

Discrete uniform and binomial distributions with infinite support. - Andrey Pepelyshev; Anatoly Zhigljavsky (Soft Comput., 2020)

Reproducing kernel Hilbert spaces, polynomials and the classical moment problems. - Holger Dette; Anatoly Zhigljavsky (CoRR, 2021)

Approximations for the boundary crossing probabilities of moving sums of normal random variables. - Jack Noonan; Anatoly Zhigljavsky (Commun. Stat. Simul. Comput., 2021)

Foreword to the virtual special issue dedicated to the 3rd International Conference NUMTA 2019 "Numerical Computations: Theory and Algorithms". - Luigi Brugnano; Yaroslav D. Sergeyev; Anatoly Zhigljavsky (J. Comput. Appl. Math., 2021)

Minimum-energy measures for singular kernels. - Luc Pronzato; Anatoly Zhigljavsky (J. Comput. Appl. Math., 2021)

Multistart with early termination of descents. - Antanas Zilinskas; Jonathan Gillard 002; Megan Scammell; Anatoly Zhigljavsky (J. Glob. Optim., 2021)

Reproducing Kernel Hilbert Spaces, Polynomials, and the Classical Moment Problem. - Holger Dette; Anatoly A. Zhigljavsky (SIAM/ASA J. Uncertain. Quantification, 2021)

Efficient Quantisation and Weak Covering of High Dimensional Cubes. - Jack Noonan; Anatoly Zhigljavsky (Discret. Comput. Geom., 2022)

Polynomial whitening for high-dimensional data. - Jonathan Gillard 002; Emily O'Riordan; Anatoly Zhigljavsky (Comput. Stat., 2023)

Quasi-uniform designs with optimal and near-optimal uniformity constant. - Luc Pronzato; Anatoly A. Zhigljavsky (J. Approx. Theory, 2023)

Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms. - Jack Noonan; Anatoly Zhigljavsky (J. Glob. Optim., 2024)

An exterior algebra approach to generalised variances and cross-covariances. - Henry P. Wynn; Anatoly Zhigljavsky (Soft Comput., 2025)