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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.
Audet, C., Bouchet, P.-Y., & Bourdin, L. (2024). Convergence towards a local minimum by direct search methods with a covering step. Optimization Letters, -. External link
Bouchet, P.-Y., Audet, C., & Bourdin, L. (2024). Convergence towards a local minimum by direct search methods with a covering step. (Technical Report n° G-2024-05). External link
Bouchet, P.-Y., Audet, C., & Bourdin, L. (2024). A derivative-free approach to partitioned optimization. (Technical Report n° G-2024-39). External link
Bouchet, P.-Y. (2023). Théorie de l'optimisation sans dérivées dans le cas discontinu [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Audet, C., Bouchet, P.-Y., & Bourdin, L. (2022). Erratum: Counterexample and an additional revealing poll step for a result of "Analysis of direct searches for discontinuous functions". (Technical Report n° G-2022-56). External link
Audet, C., Bouchet, P.-Y., & Bourdin, L. (2021). A derivative-free approach to optimal control problems with a piecewise constant Mayer cost function. (Technical Report n° G-2021-63). External link
Alarie, S., Audet, C., Bouchet, P.-Y., & Le Digabel, S. (2021). Optimization of stochastic blackboxes with adaptive precision. SIAM Journal on Optimization, 31(4), 3127-3156. External link
Bouchet, P.-Y., Gualandi, S., & Rousseau, L.-M. (2020, September). Primal Heuristics for Wasserstein Barycenters [Paper]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria. External link
Alarie, S., Audet, C., Bouchet, P.-Y., & Le Digabel, S. (2019). Optimization of noisy blackboxes with adaptive precision. (Technical Report n° G-2019-84). External link
Bouchet, P.-Y. (2019). Optimisation de boîtes noires à précision variable [Master's thesis, Polytechnique Montréal]. Available
