DSPA Chapter 4 Linear Algebra and Matrix Computing
From Tina Chang on July 17th, 2017
views
comments
From Tina Chang on July 17th, 2017
In this chapter, we review the fundamentals of linear algebra, matrix manipulation and their applications to representation, modeling, and analysis of real data. Specifically, we will cover (1) construction of matrices and matrix operations, (2) general matrix algebra notations, (3) eigenvalues and eigenvectors of linear operators, (4) least squares estimation, and (5) linear regression and variance-covariance matrices.
U-M Library MediaSpace, a MiVideo Service