Time Table
Lectures:
- Monday (10:00-11:00)
- Tuesday (09:00-10:00)
- Wednesday (08:00-09:00)
Room: L3
Syllabus
- Fundamentals - overview of matrix computations
- Vector and matrix norms
- Stability and ill-conditioning, Condition number of a matrix and its applications
- Linear systems-LU factorization, Gaussian eliminations, Cholesky factorization, stability and sensitivity analysis
- Jacobi, Gauss-Seidel and successive over-relaxation methods
- Matrix factorizations, Singular value decomposition of a matrix and its applications
- Linear systems and least squares problems
- Householder matrices and their applications
- Conjugate gradient methods
- Numerical methods for matrix eigenvalue problem
- Numerical methods for systems and control
You can download the syllabus below in .pdf format:Syllabus