NUMERICAL ANALYSIS
Academic Year 2017/2018 - 1° Year
Teaching Staff: Rosa Maria PIDATELLA
Credit Value: 6
Scientific field: MAT/08 - Numerical analysis
Taught classes: 24 hours
Exercise: 24 hours
Term / Semester: 2°
Credit Value: 6
Scientific field: MAT/08 - Numerical analysis
Taught classes: 24 hours
Exercise: 24 hours
Term / Semester: 2°
Learning Objectives
Deep knowledge in Numerical Approximation
Detailed Course Content
Error analysis theory. Linear systems: direct and iterative methods. Least square method: approximation theory and solution of overdetermined systems. Eigenvalues: power method, similarity transformations, Householder and Givens methods. Interpolation theory, Bezier curves, orthogonal polynomials, trigonometric interpolation. Non linear equations, gradient methods. Quadrature formulas: Newton-Cotes and gaussian methods.
Textbook Information
1. R. Sacco, A. Quarteroni, F. Saleri, “Matematica Numerica”, Springer, 2001.
2. G.Naldi, L.Pareschi Matlab: concetti e progetti, Apogeo 2002.