Robust optimization in spline regression models for multi-model regulatory networks under polyhedral uncertainty

DOI10.1080/02331934.2016.1209672zbMath1383.90004OpenAlexW2492654920MaRDI QIDQ4598857

Erik Kropat, Ayşe Özmen, Gerhard-Wilhelm Weber

Publication date: 15 December 2017

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2016.1209672

zbMATH Keywords

robust optimization regulatory networks conic quadratic programming polyhedral uncertainty robust conic multivariate adaptive regression splines

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Deterministic network models in operations research (90B10) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

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