Numerical Analysis 2 (G5125)

15 credits, Level 5

Spring teaching

Topics covered include:

  • linear systems (conditioning, LU factorization, basic iterative methods, convergence analysis)
  • non-linear systems (fixed-point methods, Newton’s method)
  • applications (iterative methods for eigen-problems, least squares, optimisation, linear programming).


79%: Lecture
21%: Practical (Workshop)


20%: Coursework (Problem Set, Test)
80%: Examination (Unseen examination)

Contact hours and workload

This module is 150 hours of work. This breaks down into 42 hours of contact time and 108 hours of independent study.

This module is running in the academic year 2019/20. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.