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Minimizing Setup and Beam-On Times in Radiation Therapyple linear time algorithm to compute the minimum beam-on time. We prove that the minimum setup time problem is APX-hard and give approximation algorithms for it using a duality property. For the general case, we give a . approximation algorithm. For unimodal rows, we give a . approximation algorithm

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t the effort of model creation with Palladio is approximately 1.25 times higher than with SPE in our experimental setting, with the resulting models having comparable prediction accuracy. Therefore, in some cases, the creation of reusable prediction models can already be justified, provided they are reused at least once.

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