MA3046 Matrix Analysis

This course provides students in the engineering and physical sciences curricula with an applications-oriented coverage of major topics of matrix and linear algebra. Matrix factorizations (LU, QR, Cholesky), the Singular Value Decomposition, eigenvalues and eigenvectors, the Schur form, subspace computations, structured matrices. Understanding of practical computational issues such as stability, conditioning, complexity, and the development of practical algorithms.

Prerequisite

MA2043 and EC1010

Lecture Hours

4

Lab Hours

1

Quarter Offered

  • As Required