MATH 4370

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
course_MATH_4370 cluster_equiv_1 MATH 4370 MATH 4370 MATH 4440 MATH 4440 MATH 4370->MATH 4440 recommended MATH 2090 MATH 2090 C or better MATH 2090->MATH 4370 MATH 2091 MATH 2091 C or better MATH 2091->MATH 2090 or

Fall 2019 section

Lecture section

  • A01
    Instructor: Julien Arino
    CRN: 13200
    Lecture Location: 418 Machray Hall
    Dates: September 04 – December 06
    Time: 11:30–12:45, Tu.Th.