Lehrinhalte
Interpolation and approximation, differentiation and integration, systems of linear and nonlinear equations, least squares minimization, roots of polynomials, programming exercises.

Literature
Deuflhard, Hohmann: Numerical Analysis in Modern Scientific Computing: An Introduction; Texts in Applied Mathematics 43, Springer 2003.
Stoer, Bulirsch: Introduction to Numerical Analysis; Texts in Applied Mathematics 12, Springer 2002
Matlab User Guide 

Voraussetzungen
recommended: Analysis and Linear Algebra, Introduction to Scientific Programming

Online-Angebote
moodle

Semester: Inverno 2020/21