308690 (v.1) Computational Mathematics 301
Area: |
Department of Mathematics and Statistics |
Credits: |
25.0 |
Contact Hours: |
4.0 |
| ** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** | |
Lecture: |
1 x 3 Hours Weekly |
Tutorial: |
1 x 1 Hours Weekly |
Prerequisite(s): |
4515 (v.5) Scientific Computing 201 or any previous version |
Syllabus: |
Numerical methods for initial-value problems and multi-step methods. Systems of ordinary differential equations. Two-point boundary value problems, finite difference and shooting methods. Iterative methods for large-scale linear systems of equations, Jacobi, Gauss-Seidel and SOR methods, convergence and error bounds. Non-linear systems of equations and Newton's Method. Introduction to Partial Differential Equations and second-order finite difference methods. Approximation Theory - weighted least squares approximation, orthogonal polynomials, Chebyshev approximation and Remez Algorithm. Splines - natural cubic splines. |
| ** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** | |
Field of Education: | 010101 Mathematics |
Funding Cluster: | 04 - Mathematics, Statistics |
SOLT (Online) Definitions*: | Not Online *Extent to which this unit or thesis utilises online information |
Result Type: | Grade/Mark |
Availability |
|
| Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information. | |
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Content Last Modified: June 14, 2006
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