Numerical computing
4 points * Two 1-hour lectures per week * Second semester * Clayton * Prerequisites: CSC1011 or equivalent and 12 points of approved first-year mathematics subjects or equivalent * Prohibitions: MAA2032, MAT2452
Objectives On completion of the subject students should understand the effect of stability on numerical algorithm design; understand basic algorithms for solving linear systems of equation; and understand how to construct algorithms with guaranteed stability for solving problems in numerical linear algebra.
Synopsis Numerical methods for solving systems of linear equations, special matrices, eigenvalues, error analysis for linear systems, overdetermined linear systems, curve fitting, polynomial approximation.
Assessment Examination (2 hours): 70% * Practical work: 30%
Recommended texts
Kahaner D and others Numerical methods and software Prentice-Hall, 1989
Maron M J and Lopez R J Numerical analysis: A practical approach 3rd edn, Wadsworth, 1991
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