2021/08/21 by Sturmfels, Bernd
#Algebraic Geometry (math.AG) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC) #Statistics Theory (math.ST) #Symbolic Computation (cs.SC)
paper · doi:10.48550/arxiv.2108.09494
Our title challenges the reader to venture beyond linear algebra in designing models and in thinking about numerical algorithms for identifying solutions. This article accompanies the author's lecture at the International Congress of Mathematicians 2022. It covers recent advances in the study of critical point equations in optimization and statistics, and it explores the role of nonlinear algebra in the study of linear PDE with constant coefficients.