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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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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.
Caines, P. E., Huang, M., & Malhamé, R. P. (2018). Mean Field Games. In Başar, T., & Zaccour, G. (eds.), Handbook of Dynamic Game Theory (pp. 345-372). External link
Deschamps, I. (1993, January). Adapting industrial products and processes to environmental requirements [Paper]. International Conference on Environmental Management in a Transition to Market Economy, Genève, Suisse. Unavailable
Hoang, L. N., Soumis, F., & Zaccour, G. (2019). The return function: A new computable perspective on BayesianNash equilibria. European Journal of Operational Research, 279(2), 471-485. External link
Hoang, L. N., Soumis, F., & Zaccour, G. (2016). A heuristic optimization of Bayesian incentive-compatible cake-cutting. Computers and Operations Research, 75, 76-82. External link
Hoang, L. N., Soumis, F., & Zaccour, G. (2016). Measuring Unfairness Feeling in Allocation Problems. Omega, 65, 138-147. External link
Hoang, L. N., Soumis, F., & Zaccour, G. (2014). A heuristic optimization of Bayesian incentive-compatible cake-cutting. (Technical Report n° G-2014-80). External link
Hoang, L. N., Soumis, F., & Zaccour, G. (2014). Measuring the unfairness feeling in allocation problems. (Technical Report n° G-2014-70). External link
Hoang, L. N., Soumis, F., & Zaccour, G. (2014). The return function: A new computable perspective on Bayesian-Nash equilibria. (Technical Report n° G-2014-07). External link
Hoang, L. N., Soumis, F., & Zaccour, G. (2012). The Return Function: A Tool for Computing Bayesian-Nash Equilibria in Mechanism Design. (Technical Report n° G-2012-70). External link
Mbihi, J., Malhamé, R. P., & Sadr, J. (2002). Two Approximations as a Basis for the Optimization of Production in Unreliable Markovian Long Transfer Lines. In Zaccour, G. (ed.), Decision & Control in Management Science (Vol. 4, pp. 275-297). External link
Salhab, R., Le Ny, J., Malhamé, R. P., & Zaccour, G. (2022). Dynamic marketing policies with rating-sensitive consumers: A mean-field games approach. European Journal of Operational Research, 299(3), 1079-1093. External link
Salhab, R., Le Ny, J., Malhamé, R. P., & Zaccour, G. (2019). Dynamic marketing policies with online-review-sensitive consumers: A mean-field games approach. (Technical Report n° G-2019-50). External link
