Skip to main content

Matrix Algebra And Its Applications

Algebra of matrices, elementary theory of vector spaces and inner product spaces, the solution of simultaneous linear equations using Gaussian elimination and triangular factorization. Orthogonal projections, pseudo inverse and singular value decomposition, least squares approximation. Determinants, eigenvalues and eigenvectors, diagonalization.

Prefix:
MA
Course Number:
322
Semester:
Spring 2017
Year:
2017030
Credits:
3.0