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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
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