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Daniel Woolnough
Daniel Woolnough
Department of Applied Mathematics, School of Mathematics and Statistics, UNSW Sydney
Verified email at unsw.edu.au
Title
Cited by
Cited by
Year
Exact conic programming reformulations of two-stage adjustable robust linear programs with new quadratic decision rules
D Woolnough, V Jeyakumar, G Li
Optimization Letters 15, 25-44, 2021
152021
Exact dual semi-definite programs for affinely adjustable robust SOS-convex polynomial optimization problems
TD Chuong, V Jeyakumar, G Li, D Woolnough
Optimization 71 (12), 3539-3569, 2022
92022
Affinely adjustable robust optimization for radiation therapy under evolving data uncertainty via semi-definite programming
V Jeyakumar, G Li, D Woolnough, H Wu
Optimization 73 (6), 1807-1832, 2024
42024
Robust optimization and data classification for characterization of Huntington disease onset via duality methods
D Woolnough, N Jeyakumar, G Li, CT Loy, V Jeyakumar
Journal of Optimization Theory and Applications, 1-27, 2022
42022
Exact SDP reformulations of adjustable robust linear programs with box uncertainties under separable quadratic decision rules via SOS representations of non-negativity
TD Chuong, V Jeyakumar, G Li, D Woolnough
Journal of Global Optimization 81, 1095-1117, 2021
32021
Quadratically adjustable robust linear optimization with inexact data via generalized S-lemma: Exact second-order cone program reformulations
V Jeyakumar, G Li, D Woolnough
EURO Journal on Computational Optimization 9, 100019, 2021
32021
Sums of Squares Polynomial Program Reformulations for Adjustable Robust Linear Optimization Problems with Separable Polynomial Decision Rules
V Jeyakumar, JH Lee, GM Lee, G Li, D Woolnough
Set-Valued and Variational Analysis 30 (4), 1363-1380, 2022
12022
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