2020-02-04T23:11:10Z (GMT) by Juan Pablo Vielma
This project seeks to develop methods and software for computer-based scientific analysis that are sufficiently powerful, flexible and accessible to (i) enable domain experts to achieve significant advancements within their domains, and (ii) enable innovative use of advanced computational techniques in unexpected scientific, technological and industrial applications. In this poster we report on the progress towards this goal by describing advancements both in the development and application of the associated cyberinfrastructure. In particular, we report on the use of mathematical optimization techniques for the analysis of economically viable pathways for decarbonization of electrical power networks. We also report on the development of next-generation of interior point algorithms for convex optimization and their potential to revolutionize applications in machine learning and optimal control. Finally, we report on various community building activities.



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