Multivariate Polynomials in Julia | Chris Elrod, Benoît Legat | JuliaCon 2022
This presentation explores the need for an efficient multivariate polynomial library in Julia, highlighting essential operations such as product, division, substitution, and evaluation based on various applications.

The Julia Programming Language
837 views • Jul 27, 2022

About this video
Depending on the applications, the requirement for a multivariate polynomial library may be efficient computation of product, division, substitution, evaluation, gcd or even Gröbner bases. It is well understood that the concrete representation to use for these polynomials depends on whether they are sparse or not. In this talk, we show that in Julia, the choice of representation also depends on whether to specialize the compilation on the variables.
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For more info on the Julia Programming Language, follow us on Twitter: https://twitter.com/JuliaLanguage and consider sponsoring us on GitHub: https://github.com/sponsors/JuliaLang
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/YouTubeVideoTimestamps
Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/YouTubeVideoSubtitles
Video Information
Views
837
Likes
12
Duration
9:26
Published
Jul 27, 2022
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