MIP presolve techniques for a PDE-based supply chain model

DOI10.1080/10556780902752595zbMath1162.90352DBLPjournals/oms/DittelFGH09OpenAlexW1977941620WikidataQ60471964 ScholiaQ60471964MaRDI QIDQ3632944

Agnes Dittel, Michael Herty, Armin Fügenschuh, Simone Goettlich

Publication date: 16 June 2009

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556780902752595

zbMATH Keywords

supply chainspreprocessingmixed-integer models

Mathematics Subject Classification ID

Mixed integer programming (90C11) Deterministic network models in operations research (90B10)

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Efficient reformulation and solution of a nonlinear PDE-controlled flow network model ⋮ A solution framework for linear PDE-constrained mixed-integer problems

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