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Introduction to Computational Science
Last Updated: 2026-02-05 14:59:56
Abstract
Non-linear equations, Fundamentals of interpolation (points and functions), Nonlinear Least Squares, Optimization, Introduction to Symbolic computation.
Content
Non-linear equations: - iteration methods, single/multi point - polynomial zeros - Continuation Homotopy - multivariate problems Fundamentals of interpolation (points and functions): - interpolation, extrapolation - Lagrange, Newton, Aitken-Neville, Orthogonal polynomials - splines Nonlinear Least Squares: - Applications of SVD Optimization: - classical: Gradient, Hessian, Newton - Brent's algorithm - Interior point, barrier and penalty methods - Lagrange Formalism Introduction to Symbolic computation: - Exact arithmetic, representation of mathematical objects, operations on polynomials.
General Information
- Language
- English
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- 8 A4 Seiten handschriftliche Notizen, Taschenrechner ohne Programmier- oder Kommunikationsmöglichkeit.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Introduction to Computational Science |
|
2 h weekly |
| exercise | Introduction to Computational Science |
|
1 h weekly |