8136 (v.5) Numerical Methods 202
| Area: | Department of Mathematics and Statistics |
| Contact Hours: | 4.0 |
| Credits: | 25.0 |
| Lecture: | 1 x 3 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Prerequisite(s): | 4515 (v.5) Scientific Computing 201 or any previous version
|
| Ordinary differential equations - Taylor series methods, Runge Kutta methods, predictor-corrector methods, stability analysis and two-point boundary-value problems. Eigenvalue problem - power method, similarity transformations, Jacobi's method, Given's method and eigenvalues of tridiagonal matrices. Approximation theory - data fitting, least squares approximation, orthogonal polynomials and approximation using Legendre and Chebyshev polynomials. Iterative methods. |
| Year | Location | Period | Internal | Area External | Central External | | 2003 | Bentley Campus | Semester 2 | Y | | | |
Current as of: October 30, 2003 13:11:55
CRICOS provider code 00301J
