13366 (v.2) Computational Mathematics 102
Area: | Department of Mathematics and Statistics |
Contact Hours: | 4.0 |
Credits: | 25.0 |
Lecture: | 3 x 1 Hours Weekly |
Tutorial: | 1 x 1 Hours Weekly |
Anti Requisite(s): | 8136 (v.5) Numerical Methods 202
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Prerequisite(s): | 13365 (v.2) Computational Mathematics 101 or any previous version
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Solution of linear systems of equations - matrices and their algebra, systems of linear equations - elementary row operations, Gaussian elimination, LU factorisation, pivoting and scaling, permuted LU factorisation, special types of matrices, inverse of square matrices. Approximation theory. Differential equations. |
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