An adaptive discretization method solving semi-infinite optimization problems with quadratic rate of convergence

DOI10.1080/02331934.2020.1804566zbMath1493.90209arXiv1910.13798OpenAlexW3080602729MaRDI QIDQ5093681

Tobias Seidel, Karl-Heinz Küfer

Publication date: 1 August 2022

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1910.13798

zbMATH Keywords

quadratic convergencesemi-infinite programmingstationary pointsdiscretization methodsbi-level optimization

Mathematics Subject Classification ID

Nonlinear programming (90C30) Sensitivity, stability, parametric optimization (90C31) Semi-infinite programming (90C34) Rate of convergence, degree of approximation (41A25)

Related Items (2)

Solving continuous set covering problems by means of semi-infinite optimization. With an application in product portfolio optimization ⋮ Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables

Uses Software

• Matlab

Cites Work

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