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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA 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.
Anjos, M. F., Lodi, A., & Tanneau, M. (2019). Tulip: An open-source interior-point linear optimization solver with abstract linear algebra. (Technical Report n° G-2019-36). External link
Anjos, M. F., Lodi, A., & Tanneau, M. (2019). A decentralized framework for the optimal coordination of distributed energy resources. IEEE Transactions on Power Systems, 34(1), 349-359. External link
Anjos, M. F., Lodi, A., & Tanneau, M. (2017). A decentralized framework for the optimal coordination of distributed energy resources. (Technical Report n° DS4DM-2017-014). External link
Lodi, A., Tanneau, M., & Vielma, J. P. (2022). Disjunctive cuts in mixed-integer conic optimization. Mathematical Programming, 199(1-2), 671-719. External link
Liu, D., Lodi, A., & Tanneau, M. (2021). Learning chordal extensions. Journal of Global Optimization, 81(1), 3-22. External link
Lodi, A., Tanneau, M., & Vielma, J. P. (2019). Disjunctive cuts for mixed-integer conic optimization. (Technical Report n° 2019-42). External link
Liu, D., Lodi, A., & Tanneau, M. (2019). Learning chordal extensions. (Technical Report n° G-2019-78). External link
Tanneau, M., Anjos, M. F., & Lodi, A. (2021). Design and implementation of a modular interior-point solver for linear optimization. Mathematical Programming Computation, 13(3), 509-551. External link
Tanneau, M. (2020). Exploiting structure in Mixed-Integer Linear and Non-linear Programming [Ph.D. thesis, Polytechnique Montréal]. Available
