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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:

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