Repository containing practical exercises from the numerical linear algebra course at School of Applied Mathematics at Getulio Vargas Foundation.
I have used Scilab enviroment, because it's a free open source software similar to Matlab and it's quite easy for linear algebra purposes.
- Pratical_1: Gaussian Elimination and improvements.
- Pratical_2: Jacobi and Gauss-Seidel linear system solvers.
- Pratical_3: Power method to find dominant eigenvalue of a matrix.
- Pratical_4: Some theoretical exercises about least square and first classification method.
- Pratical_5: QR decomposition.
- Pratical_6: SVD and compression of images.