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Learning objectives
1. Understand the basic principles of the point
kernel superposition/convolution/collapse cone
family of dose engine models
2. Understand the expected performance of point
kernel models versus MC, pencil kernel and grid
2
based models in terms of speed versus accuracy
for different clinical situations
3. Contribute to the understanding of the different
roles in modern TPS of dose engines versus
fluence engines