Applied and computational analysis (ACA) is concerned with mathematical tools of broad applicability, e.g. ordinary and partial differential equations, nonlinear dynamical systems, integrable systems, numerical analysis, approximation theory, inverse problems and image analysis. While the approach is mathematical, the ultimate destination of these tools is to applications. This tension between the pure and the applied is at the core of different ACA themes.
| Title | Examinable | Term | Number of Lectures |
|---|---|---|---|
| Numerical Solution of differential equations | Part III Examinable | Michaelmas | 24 |
| Approximation Theory | Part III Examinable | Michaelmas | 16 |
| Infinite-dimensional Spectral Computations | Part III Examinable | Lent | 16 |
| Distribution Theory and Applications | Part III Examinable | Lent | 16 |
| Topics in Convex Optimisation | Part III Examinable | Lent | 16 |
| Topics in Mathematics for Deep Learning | Graduate Non-Examinable | Lent | 16 |
