This Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $227,139 to the University of California, Davis for research related to solving systems of linear inequalities with parameters and developing efficient algorithms for constrained interpolation by smooth functions. Over a three-year period from July 1, 2023 through June 30, 2026, the University will work to develop smooth solutions to systems of linear inequalities and address constrained interpolation on arbitrary domains. The research aims to revolve around common mathematical themes like Calderon-Zygmund decomposition, well-separated pairs, and convex optimization. The grant also supports research opportunities for postdocs, graduate students, and undergraduates. The funding advances the NSF's statutory mission to strengthen the Nation's scientific enterprise through increasing mathematical and physical sciences knowledge and understanding major challenges.
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