MTH 719
Applied Linear Algebra
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. Lab work done with an appropriate software package.
MTH 719 Requisite Information:
MTH 719 Let's You Take:
  • This course is not a prerequisite for any other courses.
Other:
Prerequisite: (MTH 131 or MTH 207 or MTH 140) and (MTH 108 or MTH 141) and (CPS 118 or CPS 109 or CPS 106 or CPS 125)
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