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 MATH 2091 (C) or the former MATH 2300 (B) or the former MATH 2301 (B) or the former MATH 2350 (C) or the former MATH 2352 (C).Hide course graph
Fall 2019 section
Instructor: Julien Arino CRN: 13200 Lecture Location: 418 Machray Hall Dates: September 04 – December 06 Time: 11:30–12:45, Tu.Th.