An interior-point implementation developed and tuned for radiation therapy treatment planning

DOI10.1007/s10589-017-9919-4zbMath1387.90124OpenAlexW2734313214WikidataQ59482390 ScholiaQ59482390MaRDI QIDQ1687310

Ben Heijmen, Bas van den Berg, Sebastiaan Breedveld

Publication date: 22 December 2017

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-017-9919-4

zbMATH Keywords

radiation therapyhigher-order methodsinterior-pointlarge-scalenonlinear optimisationinitialisationmultiple precision arithmeticperformance optimisedtiled matrix algebra

Mathematics Subject Classification ID

Convex programming (90C25) Large-scale problems in mathematical programming (90C06) Applications of mathematical programming (90C90) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Interior-point methods (90C51) Operations research, economics (aspects of mathematics education) (97M40) Biology, chemistry, medicine (aspects of mathematics education) (97M60)

Related Items (2)

Interior Point Methods Can Exploit Structure of Convex Piecewise Linear Functions with Application in Radiation Therapy ⋮ Lexicographic extension of the reference point method applied in radiation therapy treatment planning

Uses Software

• LSQR
• LOQO
• Netlib
• Scotch
• CUTEst
• TROTS
• CHFACT
• CRAIG

Cites Work

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