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MA4L8 Numerical Analysis and Nonlinear PDEs

Not Running in 2020/21



Status for Mathematics students:

Commitment: 10 x 3 hour lectures + 9 x 1 hour support classes10 x 3 hour lectures + 9 x 1 hour support classes

Assessment: 3hr Written Examination 100%

Prerequisites: Ideally one would take at least two from:

-MA3G7 Functional Analysis I

-MA359 Measure Theory

-MA3G1 Theory of PDEs

-MA3H0 Numerical analysis and PDEs.

Leads To:


  1. Review analysis for PDEs
  2. Review numerical discretisation
  3. Finite element theory for linear problems
  4. Concepts for discretises problems
  5. Semilinear monotone equations
  6. Obstacle problems

7. Time dependent problems


The goal of this course is to introduce some fundamental concepts, methods and theory associated with the numerical analysis of partial differential equations and in particular nonlinear equations.

Finite element theory will provide the core machinery for devising methods and their analysis. Abstract notions of stability, consistency and convergence will be introduced as applied to convergence of minimisers, approximation of equilibrium points and the solution of nonlinear discrete problems


By the end of the module the student should be able to:

- Recognise the nature of the problem to be approximated

- Recognise where the Galerkin method is appropriate for use

- Formulate discrete approximations of nonlinear PDEs

- Obtain stability estimates in a variety of settings

- Apply elementary iterative methods for fixed point equations and optimisation.


  • Soren Bartels Numerical methods for nonlinear PDEs Springer Series in Computtaional Mathematics Vol 47 (2015)
  • S Larrsson and V. Theme

PDEs and numerical methods Springer Texts in Applied Maths Vol 45 (2005)

Additional Resources

Year 1 regs and modules
G100 G103 GL11 G1NC

Year 2 regs and modules
G100 G103 GL11 G1NC

Year 3 regs and modules
G100 G103

Year 4 regs and modules

Archived Material
Past Exams
Core module averages