Anatoly A. Zhigljavsky

Orcid: 0000-0003-0630-8279

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


According to our database1, Anatoly A. Zhigljavsky authored at least 54 papers between 1995 and 2024.

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

Timeline

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Bibliography

2024
Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms.
J. Glob. Optim., January, 2024

2023
Quasi-uniform designs with optimal and near-optimal uniformity constant.
J. Approx. Theory, October, 2023

Polynomial whitening for high-dimensional data.
Comput. Stat., September, 2023

2022
Efficient Quantisation and Weak Covering of High Dimensional Cubes.
Discret. Comput. Geom., 2022

2021
Reproducing Kernel Hilbert Spaces, Polynomials, and the Classical Moment Problem.
SIAM/ASA J. Uncertain. Quantification, 2021

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

Approximations for the boundary crossing probabilities of moving sums of normal random variables.
Commun. Stat. Simul. Comput., 2021

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

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

Covering of High-Dimensional Cubes and Quantization.
Oper. Res. Forum, 2020

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

2019
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

2018
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

2017
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

2016
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

2015
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

2014
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

2013
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

2012
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

2011
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

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

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

2008
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

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

2001
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

1999
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

1997
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

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


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