Course Description

Course CodeCourse NameCreditsHours
3635044 Matrix Algebra and Its Applications 3.0 3
Description 1. Introduction - Importance of Linear Algebra 2. Ax=b, Matrix, Gaussian Elimination and Application 3. Vector Spaces and Linear Equation 4. Applications: Graphs and Networks 5. Orthogonality and Least Squares 6. Applications: Multiple Regression 7. Application: Linear Programming 8. Determinant and its Applications 9. Eigenvalues and Eigenvectors 10. Ak and Difference Equations 11. eA and Differential Equations 12. Similarity Transformation and Spectral Theorem 13. Positive Definite Matrices and Minimum Principles 14. Applications: Multivariate Analysis and Principal Component Analysis 15. Singular Value Decomposition and its Applications