NUMERICAL LINEAR ALGEBRA
Academic Year 2017/2018 - 3° Year - Curriculum APPLICATIVO
Teaching Staff: Rosa Maria PIDATELLA
Credit Value: 6
Scientific field: MAT/08 - Numerical analysis
Taught classes: 48 hours
Term / Semester: 2°
Credit Value: 6
Scientific field: MAT/08 - Numerical analysis
Taught classes: 48 hours
Term / Semester: 2°
Learning Objectives
Learning of advanced numerical techniques and code writing to solve main problems in Numerical Linear Algebra.
Detailed Course Content
SVD decomposition. QR fattorization. Min-square methods. Refinement of numerical solutions of linear systems by direct methods. Iterative procedures to solve sparse linear systems: matrix decomposition and Krylov methods. Preconditioning.
Textbook Information
1. A.Quarteroni, R.Sacco, F.Saleri Matematica Numerica, Springer 1999.
2. G.Naldi, L.Pareschi Matlab: concetti e progetti, Apogeo 2002.
3. J.W.Demmel Applied Numerical Linear Algebra
4. L.N. Trefethen, D.Bau Numerical Linear Algebra