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.
Prerequisites & course information
PR/CR: A minimum grade of C is required unless otherwise indicated. Prerequisite: MATH 2090 or MATH 2091 or the former MATH 2300 (B) or the former MATH 2301 (B) or the former MATH 2350 or the former MATH 2352. Mutually Exclusive: MATH 4310 Attributes: Mathematics Requirement, Science
Sources
- Course catalogue ↗2026-2027