Anatoly A. Zhigljavsky

  • Cardiff University, Department of Mathematics, UK
  • University of Nizhnii Novgorod, Russia

According to our database1, Anatoly A. Zhigljavsky authored at least 47 papers between 1995 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Multistart with early termination of descents.
J. Glob. Optim., 2021

Minimum-energy measures for singular kernels.
J. Comput. Appl. Math., 2021

Foreword to the virtual special issue dedicated to the 3rd International Conference NUMTA 2019 "Numerical Computations: Theory and Algorithms".
J. Comput. Appl. Math., 2021

Reproducing kernel Hilbert spaces, polynomials and the classical moment problems.
CoRR, 2021

Discrete uniform and binomial distributions with infinite support.
Soft Comput., 2020

Bayesian Quadrature, Energy Minimization, and Space-Filling Design.
SIAM/ASA J. Uncertain. Quantification, 2020

Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems.
Optim. Lett., 2019

Measures Minimizing Regularized Dispersion.
J. Sci. Comput., 2019

Blind deconvolution of covariance matrix inverses for autoregressive processes.
CoRR, 2019

Simplicial variances, potentials and Mahalanobis distances.
J. Multivar. Anal., 2018

Performance of global random search algorithms for large dimensions.
J. Glob. Optim., 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.
J. Glob. Optim., 2018

Optimal estimation of direction in regression models with large number of parameters.
Appl. Math. Comput., 2018

Statistical Estimation in Global Random Search Algorithms in Case of Large Dimensions.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Global Optimization Challenges in Structured Low Rank Approximation.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Branch and probability bound methods in multi-objective optimization.
Optim. Lett., 2016

Weighted norms in subspace-based methods for time series analysis.
Numer. Linear Algebra Appl., 2016

Stochastic Global Optimization: A Review on the Occasion of 25 Years of Informatica.
Informatica, 2016

Adaptive Targeting in Online Advertisement: Models Based on Relative Influence of Factors.
Proceedings of the Machine Learning, Optimization, and Big Data, 2016

Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

Stochastic algorithms for solving structured low-rank matrix approximation problems.
Commun. Nonlinear Sci. Numer. Simul., 2015

Preface to the special issue NUMTA 2013.
Commun. Nonlinear Sci. Numer. Simul., 2015

Adaptive Targeting for Online Advertisement.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015

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

'Nearly' universally optimal designs for models with correlated observations.
Comput. Stat. Data Anal., 2014

An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost.
Optim. Lett., 2013

Optimization challenges in the structured low rank approximation problem.
J. Glob. Optim., 2013

Computing sums of conditionally convergent and divergent series using the concept of grossone.
Appl. Math. Comput., 2012

Foreword: Special issue INFINITY 2010.
Appl. Math. Comput., 2012

Stochastic Global Optimization.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Statistical Modelling in Market Research.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Singular Spectrum Analysis for Time Series.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Analysis of Structured Low Rank Approximation as an Optimization Problem.
Informatica, 2011

Gradient algorithms for quadratic optimization with fast convergence rates.
Comput. Optim. Appl., 2011

Stopping rules in <i>k</i>-adaptive global random search algorithms.
J. Glob. Optim., 2010

Singular spectrum analysis: methodology and application to economics data.
J. Syst. Sci. Complex., 2009

Improving updating rules in multiplicative algorithms for computing D-optimal designs.
Comput. Stat. Data Anal., 2008

Stochastic Global Optimization.
Optimization and its applications 1, Springer, ISBN: 978-0-387-74022-5, 2008

Asymptotic behaviour of a family of gradient algorithms in R<sup><i>d</i></sup> and Hilbert spaces.
Math. Program., 2006

On the distribution of Farey fractions and hyperbolic lattice points.
Period. Math. Hung., 2001

Analysis of Time Series Structure - SSA and Related Techniques.
Monographs on statistics and applied probability 90, Chapman & Hall, ISBN: 978-1-58488-194-0, 2001

Finite Sample Behaviour of an Ergodically Fast Line-Search Algorithm.
Comput. Optim. Appl., 1999

Dynamical Search - Applications of Dynamical Systems in Search and Optimization: Interdisciplinary Statistics.
CRC Press, ISBN: 978-0-8493-0336-4, 1999

Stochastic Analysis of Convergence via Dynamic Representation for a Class of Line-search Algorithms.
Comb. Probab. Comput., 1997

Blind equalization in presence of bounded errors.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Achieving the Ergodically Optimal Convergence Rate for a One-Dimensional Minimization Problem.
J. Complex., 1995