Jonathan Gillard

Orcid: 0000-0001-9166-298X

Affiliations:
  • Cardiff University, School of Mathematics, UK


According to our database1, Jonathan Gillard authored at least 22 papers between 2011 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

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

A novel initialisation based on hospital-resident assignment for the k-modes algorithm.
Soft Comput., July, 2023

Review on the book Yaroslav D. Sergeyev, Renato De Leone (Eds.) Numerical infinities and infinitesimals in optimization.
Optim. Lett., March, 2023

2022
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review.
CoRR, 2022

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

2020
Matching: A Python library for solving matching games.
J. Open Source Softw., 2020

Evolutionary dataset optimisation: learning algorithm quality through evolution.
Appl. Intell., 2020

2019
Deterministic global optimization: an introduction to the diagonal approach.
Optim. Methods Softw., 2019

Recognising and evaluating the effectiveness of extortion in the Iterated Prisoner's Dilemma.
CoRR, 2019

2018
Structured low-rank matrix completion for forecasting in time series analysis.
CoRR, 2018

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

2017
A Queueing Theoretic Approach to Set Staffing Levels in Time-Dependent Dual-Class Service Systems.
Decis. Sci., 2017

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

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

Difference-based Methods for Truncating the Singular Value Decomposition.
Commun. Stat. Simul. Comput., 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

2014
Using Singular Spectrum Analysis to obtain staffing level requirements in emergency units.
J. Oper. Res. Soc., 2014

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

Emergency Medical Services Modelling.
Proceedings of the SIMULTECH 2013, 2013

2012
Predicting ambulance demand using singular spectrum analysis.
J. Oper. Res. Soc., 2012

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


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