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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Aardal, K., Lodi, A., Tramontani, A., von Heymann, F., & Wolsey, L. A. (2021). Lattice reformulation cuts. SIAM Journal on Optimization, 31(4), 2539-2557. External link
Aardal, K., Von Heymann, F., Lodi, A., Tramontani, A., & Wolsey, L. A. (2018). Lattice reformulations cuts. (Technical Report n° DS4DM-2018-003). Unavailable
Baggio, A., Carvalho, M., Lodi, A., & Tramontani, A. (2021). Multilevel Approaches for the Critical Node Problem. Operations Research, 69(2), 486-508. External link
Bonami, P., Lodi, A., Schweiger, J., & Tramontani, A. (2019). Solving quadratic programming by cutting planes. SIAM Journal on Optimization, 29(2), 1076-1105. External link
Bonami, P., Lodi, A., Tramontani, A., & Wiese, S. (2017, June). Cutting planes from wide split disjunctions [Paper]. 19th International Conference on Integer Programming and Combinatorial Optimization (IPCO 2017), Waterloo, ON. External link
Baggio, A., Carvalho, M., Lodi, A., & Tramontani, A. (2017). Multilevel approaches for the critical node problem. (Technical Report n° DS4DM-2017-012). External link
Bonami, P., Lodi, A., Tramontani, A., & Wiese, S. (2016). Cutting planes from wide spilt disjunctions. (Technical Report n° DS4DM-2016-003). External link
Bonami, P., Lodi, A., Schweiger, J., & Tramontani, A. (2016). Solving standard quadratic programming by cutting planes. (Technical Report n° DS4DM-2016-001). External link
Bonami, P., Lodi, A., Tramontani, A., & Wiese, S. (2015). On mathematical programming with indicator constraints. Mathematical Programming, 151(1), 191-223. External link
Belotti, P., Liberti, L., Lodi, A., Nannicini, G., & Tramontani, A. (2011). Disjunctive inequalities: applications and extensions. In Wiley encyclopedia of operations research and management science . External link
Dey, S. S., Lodi, A., Tramontani, A., & Wolsey, L. A. (2014). On the practical strength of two-row tableau cuts. INFORMS Journal on Computing, 26(2), 222-237. External link
Dash, S., Gunluk, O., Lodi, A., & Tramontani, A. (2012). A time bucket formulation for the traveling salesman problem with time windows. INFORMS Journal on Computing, 24(1), 132-147. External link
Dey, S. S., Lodi, A., Tramontani, A., & Wolsey, L. A. (2010, June). Experiments with two row tableau cuts [Paper]. 14th International Conference on Integer Programming and Combinatorial Optimization (IPCO 2010), Lausanne, Suisse. External link
Fischetti, M., Lodi, A., Monaci, M., Salvagnin, D., & Tramontani, A. (2016). Improving branch-and-cut performance by random sampling. Mathematical Programming Computation, 8(1), 113-132. External link
Fischetti, M., Lodi, A., Monaci, M., Salvagnin, D., & Tramontani, A. (2013). Tree search stabilization by random sampling. (Technical Report). Unavailable
Fischetti, M., Lodi, A., & Tramontani, A. (2011). On the separation of disjunctive cuts. Mathematical Programming, 128(1-2), 205-230. External link
Lodi, A., & Tramontani, A. (2013). Performance variability in mixed-integer programming. In Topaloglu, H. (ed.), Theory driven by influential applications (pp. 1-12). External link
Shen, R., Tang, B., Lodi, A., Tramontani, A., & Ayed, I. B. (2020). An ILP Model for Multi-Label MRFs with Connectivity Constraints. IEEE Transactions on Image Processing, 29, 6909-6917. External link
Shen, R., Kendinibilir, E., Ben Ayed, I., Lodi, A., Tramontani, A., & Reinelt, G. (2017). An ILP solver for multi-label MRFs with connectivity constraints. (Technical Report n° DS4DM-2017-016). External link