This subject introduces students to a range of frequently used numerical algorithms. Consideration is given to the choice, theory, convergence, stability and implementation of the numerical procedures studied. Topics include error analysis, evaluation of functions, solution of nonlinear equations, difference calculus, curve fitting and data smoothing, numerical integration, numerical solution of differential equations, and systems of linear equations. Students are encouraged to code and test their numerical algorithms using a range of computational environments.
No offerings have been identified for this subject in 2019.
School of Computing and Mathematics
The information contained in the CSU Handbook was accurate at the date of publication: May 2019. The University reserves the right to vary the information at any time without notice.