Abstract

The quote: “Mathematics is the art of reducing any problem to linear algebra.” by William Stein wonderfully articulates the importance of Linear Algebraic techniques in Pure Mathematics as well as in Engineering applications. I my talk I will discuss how engineering applications as well as recent questions in machine learning have led to a considerable broadening of the linear algebraic toolkit.

Bio

Edinah Gnang is an assistant professor in the Department of Applied Mathematics and Statistics. His research interests include discrete mathematics, graph theory, multilinear algebra, image analysis, and experimental math. He earned his doctorate at Rutgers University in 2013.