This module explores the methods, theories, and applications of optimisation.
You will study:
- Iterative Methods and errors
- Root finding
- Systems of linear equations
- Gaussian elimination
- Matrices and LU decomposition
- Vector and matrix norms
- Ill-conditioning
- Induced stability
- Systems of non-linear equations.