As scientists, we should aim for the highest standards of transparency and accessibility. Here, I make available - as much as I can - all the material related to my papers, in particular:
- Method. How is data transformed to reach the conclusions which are claimed in my contributions.
- Code. How was everything implemented (when relevant) so that one can reproduce it.
- Data. What data was used to perform the experiments (when releveant).
- Access. Where can an open-access or preprint be found online.
- Resources. Any additional resource making it easier to understand/criticize the work done.
| Code | Year | Title | Authors | Method | Code | Data | Access | Resources | Status |
|---|---|---|---|---|---|---|---|---|---|
| AE | 2023 | Using Column Generation in Column-and-Constraint Generation for Adjustable Robust Optimization | Lefebvre, H., Schmidt, M., Thürauf, J. | Preprint | |||||
| AD | 2022 | Exact Approaches for Convex Adjustable Robust Optimization | Lefebvre, H., Malaguti, E., Monaci, M. | Preprint | |||||
| AC | 2022 | Adjustable Robust Optimization with Discrete Uncertainty | Lefebvre, H., Malaguti, E., Monaci, M. | Article | |||||
| AB | 2022 | Adjustable Robust Optimization with Objective Uncertainty | Lefebvre, H., Detienne, B., Malaguti, E., Monaci, M. | Article | |||||
| AA | 2022 | A Two-Stage Robust Approach for the Weighted Number of Tardy Jobs with Objective Uncertainty | Clautiaux, F., Detienne, B., Lefebvre, H. | Article |