MTH2042

Techniques for scientific computing

(SCI)

Dr Alan Pryde

6 points + Two 1-hour lectures, an average of one 2-hour computer laboratory class and one 1-hour support class per week + Clayton + Second semester (odd numbered years) + Prerequisites:MTH1030 or equivalent + Prohibitions: MTH3042, MAT3052, ASP3132

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%