Open AccessQuadratically adjustable robust linear optimization with inexact data via generalized S-lemma: Exact second-order cone program reformulations
Author(s) -
V. Jeyakumar,
G. Li,
D. Woolnough
Publication year - 2021
Publication title -
euro journal on computational optimization
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2192-4414
pISSN - 2192-4406
DOI - 10.1016/j.ejco.2021.100019
Subject(s) - quadratic growth , second order cone programming , lemma (botany) , mathematics , generalization , quadratic programming , ellipsoid , quadratically constrained quadratic program , uncertain data , quadratic equation , realization (probability) , mathematical optimization , intersection (aeronautics) , separable space , conic section , function (biology) , computer science , algorithm , convex optimization , mathematical analysis , regular polygon , aerospace engineering , engineering , biology , geometry , data mining , statistics , physics , poaceae , astronomy , ecology , evolutionary biology