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This 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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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.
Audet, C., Hare, W., & Tribes, C. (2025). Benchmarking constrained, multi-objective and surrogate-assisted derivative-free optimization methods. (Technical Report n° G-2025-36). External link
Audet, C., Hare, W., & Jarry-Bolduc, G. (2025). The cosine measure relative to a subspace. Computational Optimization and Applications, 29 pages. External link
Audet, C., Hare, W., & Jarry-Bolduc, G. (2024). The cosine measure relative to a subspace. (Technical Report n° G-2024-07). External link
Audet, C., & Hare, W. (2020). Model-Based Methods in Derivative-Free Nonsmooth Optimization. In Numerical Nonsmooth Optimization: State of the Art Algorithms (pp. 655-691). External link
Audet, C., & Hare, W. (2018). Model-based methods in derivative-free nonsmooth optimization. (Technical Report n° G-2018-34). External link
Audet, C., & Hare, W. (2018). Algorithmic construction of the subdifferential from directional derivatives. Set-Valued and Variational Analysis, 26(3), 431-447. External link
Audet, C., & Hare, W. (2017). Derivative-Free and Blackbox Optimization. External link
Audet, C., & Hare, W. (2017). Mesh Adaptive Direct Search. In Derivative-Free and Blackbox Optimization (pp. 135-156). External link
Audet, C., & Hare, W. (2017). Model-Based Descent. In Derivative-Free and Blackbox Optimization (pp. 183-200). External link
Audet, C., & Hare, W. (2016). Algorithmic construction of the subdifferential from directional derivatives. (Technical Report n° G-2016-12). External link
Monnet, D., Hare, W., & Lucet, Y. (2022). A successive relaxation algorithm to solve a MILP involving piecewise linear functions with application to road design. Computational Optimization and Applications, 81(3), 741-767. External link