On convergence of the optimization process in Radiotherapy treatment planning

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dc.creatorHoveijn, I.
dc.date2008-11-29
dc.date.accessioned2026-07-07T12:08:08Z
dc.date.available2026-07-07T12:08:08Z
dc.descriptionThe Radiotherapy treatment planning optimization process based on a quasi-Newton algorithm with an object function containing dose-volume constraints is not guaranteed to converge when the dose value in the dose-volume constraint is a critical value of the dose distribution. This is caused by finite differentiability of the dose-volume histogram at such values. A closer look near such values reveals that convergence is most likely not at stake, but it might be slowed down.
dc.description9 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/0812.0083
dc.identifierhttp://arxiv.org/abs/0812.0083
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/209216
dc.subjectClassical Analysis and ODEs
dc.subjectOptimization and Control
dc.subjectMedical Physics
dc.titleOn convergence of the optimization process in Radiotherapy treatment planning
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