| Recommended semester: 1st - 4th semester |
| Scope and form: Lectures and exercises in the databar. |
Evaluation: Approval of coursework/reports
3 reports on assignments, solved by groups of 2 persons |
| Examination: 13-scale |
| Previous course: 04010 / 04110 |
| Prerequisites: Basic linear algebra. Knowledge of Taylor's formula, power series, roots of polynomials, ordinary differential equations |
| Preferred prerequisites: Basic computer science |
| No credit points with: 04010 / 04110 / C0201 / C0204 / C0205 / C6908 / |
| Aim: The course decribes how numerical computations are done most efficiently and accurate on a computer. The emphasis is on both the underlying mathematical methods and their practical implementation in Matlab. The goal is to make the student able to choose an appropriate algorithm for solving a given problem, taking into consideration the amount of computation as well as the influence of errors. |
| Contents: Floating-point representation on a computer; approximation and rounding errors. Algorithms for solving systems of linear equations, interpolation, numerical integration, nonlinear systems of equations, and ordinary differential equations. Matlab programming and implementation of selected algorithms in Matlab. |
| Contact: Hans Bruun Nielsen, building 305, (+45) 4525 3077, hbn@imm.dtu.dk |
| Department: 002 Informatics and Mathematical Modelling |
| Course URL: http://www.imm.dtu.dk/courses/02601 |
| Keywords: Matlab, floating point numbers, efficiency, accuracy |
| Updated: 27-08-2001 |
