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Learning objectives
1. Understand the basic principles of numerical
Boltzmann equation solvers as dose engines
2. Understand the expected performance of such
models versus MC, point kernel and pencil
kernel models in terms of speed versus accuracy
2
for different clinical situations
3. Contribute to the understanding of the different
roles in modern TPS of dose engines versus
fluence engines