Linear Algebra and Matrix Analysis
Vector and matrix norms, matrix factorizations, eigenvalues and eigenvectors, theory of non-negative matrices. Applications to differential equations, math biology, numerical analysis, digital image processing, data mining, GPS, Markov chains, graph theory, etc will be given in this course. Not to be held with the former MATH 4310. Prerequisite: MATH 2090 (C) or the former MATH 2300 (B) or MATH 2301 (B) or the former MATH 2352 (C).
Fall 2017 section
Instructor: Stephen Kirkland CRN: 13200 Lecture Location: 304 Human Ecology Dates: September 07 – December 08 Time: 11:30–12:45, Tu.Th.