Fredrik Carlsson, KTH
The second part of the talk is more focused on the results of the thesis. So-called iterative regularization of the fluence map optimization problem is first discussed. The idea is to find regular solutions by utilizing a sequential quadratic programming method that is able to find near-optimal solutions with non-jagged fluence profiles in few iterations. Then, a column generation approach to the step-and-shoot optimization problem is presented. Some properties of the approach are discussed and numerical results are provided. Finally, the impact of extending the column generation approach by adjusting the leaf positions of the generated multileaf collimator segments is discussed.