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Techniques for Scientific Computing (6 points)


Leader: Dr Tom Hall

Not offered in 2003.

Synopsis: Efficient data storage methods, linked lists; interpolation and function approximation in 2 and 3 dimensions; finite element methods; predictor-corrector schemes; adaptive integration methods; multi-grid methods; Fast Fourier Transforms; Genetic algorithms and Monte Carlo integrations.

Assessment: Examination (3 hours): 70% + Assignments: 20% + Laboratory work: 10%

Contact Hours: Two 1-hour lectures, one 1-hour computer laboratory and one 1-hour support class per week

Prerequisites: MTH1030 or equivalent

Prohibitions: MTH3042, MAT3052, ASP3132

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