Course Contents
Condition, systems of linear and nonlinear equations, least squares minimization, interpolation, integration and differentiation, differential equations, difference schemes, 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
Preconditions
recommended: Analysis and Linear Algebra, Introduction to Scientific Programming
Online Offerings
moodle
- Lehrende: Aidan Chaumet
- Lehrende: Jens Lang
- Lehrende: Hendrik Wilka
Semester: WT 2023/24