Space-time waveform relaxation multigrid for Navier-Stokes
We develop a new space-time solver for the Navier-Stokes equation
We develop a new space-time solver for the Navier-Stokes equation
Journal of Computational Physics, 2025
We aim to understand convolutional neural networks analytically through comparing them to finite difference methods.
SIAM Journal on Matrix Analysis and Applications, 2024
We propose a modification to the standard flexible generalised minimum residual (FGMRES) iteration that enforces selected constraints on approximate numerical solutions.
Journal of Computational Physics, 2021
We propose a new algorithmic method for constructing invariant variational schemes of systems of ordinary differential equations that are the Euler–Lagrange equations of a variational principle.
Journal of Computational Physics, 2021
In this work we propose a new, arbitrary order space-time finite element discretisation for Hamiltonian PDEs in multisymplectic formulation.
CALCOLO, 2021
We design and analysis a discontinuous Galerkin scheme for a generalised KdV equation.
Journal of Computational Dynamics, 2020
We introduce a procedure, based on the method of equivariant moving frames, for formulating continuous Galerkin finite element schemes that preserve the Lie point symmetries of initial value problems for ordinary differential equations.
Applied Numerical Mathematics, 2019
We design the first consistent Galerkin scheme for the approximation of the vectorial modified Korteweg-de Vries equation.
International Conference on Scientific Computing and Machine Learning, 2025
We design a neural interpolation operator to improve the boundary data for regional weather models.
Boundary and Interior Layers, Computational and Asymptotic Methods, BAIL 2018, 2020
We examine the a priori and a posteriori analysis of discontinuous Galerkin finite element discretisations of semilinear elliptic PDEs with polynomial nonlinearity.
PhD thesis, University of Reading, 2018
Here we investigate finite element techniques aimed at preserving the underlying geometric structures for various problems, and, in doing so, develop new geometric structure preserving methods