Linear Algebra and Matrix Analysis
3 credit hours
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
Advanced Linear Algebra
Information for the Fall 2017 term
No lectures and tutorials in the Fall 2017 term OR no information in our database (check Aurora)