Applied Linear Algebra

1.00 credits · Undergraduate

Emphasis on the interplay between theory, application and numerical techniques. Review of vector spaces, complexity of algorithms and numerical techniques, applications of eigenvalues and eigenvectors. Singular value decomposition. Markov chains and probability matrices. Linear Transformations. Inner product spaces. Concepts will be illustrated through applications as chosen by the instructor. Computer programming is an essential part of this course. Students will understand the concepts of this course both theoretically and through the use of computers.