Matrix Algebra I

3 credits · Undergraduate credit

Matrix operations, vector spaces, Gaussian and Gauss-Jordan algorithms for linear equations, subspaces of vector spaces, linear transformations, determinants, orthogonality, characteristic polynomials, eigenvalue problems and similarity theory. Applications include linear networks, least squares method, discrete Markov processes, linear programming.