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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
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| 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. |
Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 2 | Y | | |
Area
External | refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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