Lehrinhalte
Condition, systems of linear and nonlinear equations, least squares minimization, interpolation, integration and differentiation, differential equations, difference schemes, programming exercises.
Literatur
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
Condition, systems of linear and nonlinear equations, least squares minimization, interpolation, integration and differentiation, differential equations, difference schemes, programming exercises.
Literatur
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
- Lehrende: Jan Giesselmann
Semester: Inverno 2019/20