activity
20072026
most citedA finite element method for fully nonlinear elliptic problems

67 citations · 324 across the 36 of their papers we have counts for

collaborators

41 papers

math.NA2026

Residual Minimisation for Transport-Based Optimal Control

Tristan Pryer, Nikolaos Rekatsinas

We consider an optimal control problem governed by a stationary linear transport equation in two or three spatial dimensions, motivated by photon transport in radiotherapy treatmen…

math.NA2026

Batched Wavefront Sweeps for Linear Transport Uncertainty Quantification

Tristan Pryer

We develop a graph-compatible batched wavefront formulation for upwind discontinuous Galerkin discretisations of linear transport. For sweepable discretisations, the cell equations…

math.NA2026

Polytopic symmetric interior-penalty approximation of elliptic SPDEs driven by spatial white noise

Tristan Pryer

We analyse symmetric interior-penalty discontinuous Galerkin approximations of elliptic stochastic partial differential equations driven by spatial Gaussian white noise on quasi-un…

cs.LG2026

Multi-level Monte Carlo Dropout for Efficient Uncertainty Quantification

Aaron Pim, Tristan Pryer

We develop a multilevel Monte Carlo (MLMC) framework for uncertainty quantification with Monte Carlo dropout. Treating dropout masks as a source of epistemic randomness, we define…

math.NA2026

A finite element method preserving the eigenvalue range of symmetric tensor fields

Abdolreza Amiri, Gabriel R. Barrenechea, Tristan Pryer

This paper presents a finite element method that preserves (at the degrees of freedom) the eigenvalue range of the solution of tensor-valued time-dependent convection--diffusion eq…

math.NA2025

Variational Principles for the Helmholtz equation: application to Finite Element and Neural Network approximations

G. Makrakis, C. Makridakis, D. Mitsoudis +2

In this paper, we investigate whether Variational Principles can be associated with the Helmholtz equation subject to impedance (absorbing) boundary conditions. This model has been…

math.NA2025

A posteriori analysis for nonlinear convection-diffusion systems

Andreas Dedner, Jan Giesselmann, Kiwoong Kwon +1

This work provides reliable a posteriori error estimates for Runge-Kutta discontinuous Galerkin approximations of nonlinear convection-diffusion systems. The classes of systems we…

math.NA2025

A nodally bound-preserving composite discontinuous Galerkin method on polytopic meshes

Abdolreza Amiri, Gabriel R. Barrenechea, Emmanuil H. Georgoulis +1

We introduce a nodally bound-preserving Galerkin method for second-order elliptic problems on general polygonal/polyhedral, henceforth collectively termed as \emph{polytopic}, mesh…

stat.ML2025

Surrogate Modelling of Proton Dose with Monte Carlo Dropout Uncertainty Quantification

Aaron Pim, Tristan Pryer

Accurate proton dose calculation using Monte Carlo (MC) is computationally demanding in workflows like robust optimisation, adaptive replanning, and probabilistic inference, which…

math.PR2025

A Unified Framework from Boltzmann Transport to Proton Treatment Planning

Andreas E. Kyprianou, Aaron Pim, Tristan Pryer

This work develops a rigorous mathematical formulation of proton transport by integrating both deterministic and stochastic perspectives. The deterministic framework is based on th…

math.NA2025

Deep Uzawa for Kinetic Transport with Lagrange-Enforced Boundaries

Charalambos Makridakis, Aaron Pim, Tristan Pryer +1

We propose a neural network framework for solving stationary linear transport equations with inflow boundary conditions. The method represents the solution using a neural network a…

math.NA2025

PINN-DG: Residual neural network methods trained with Finite Elements

Georgios Grekas, Charalambos G. Makridakis, Tristan Pryer

Over the past few years, neural network methods have evolved in various directions for approximating partial differential equations (PDEs). A promising new development is the integ…

math.NA2025

A nodally bound-preserving finite element method for time-dependent convection-diffusion equations

Abdolreza Amiri, Gabriel R. Barrenechea, Tristan Pryer

This paper presents a new method to approximate the time-dependent convection-diffusion equations using conforming finite element methods, ensuring that the discrete solution respe…

math.NA2024

Optimal control of a kinetic equation

Aaron Pim, Tristan Pryer, Alex Trenam

This work addresses an optimal control problem constrained by a degenerate kinetic equation of parabolic-hyperbolic type. Using a hypocoercivity framework we establish the well-pos…

math.NA2024

A Deep Uzawa-Lagrange Multiplier Approach for Boundary Conditions in PINNs and Deep Ritz Methods

Charalambos G. Makridakis, Aaron Pim, Tristan Pryer

We introduce a deep learning-based framework for weakly enforcing boundary conditions in the numerical approximation of partial differential equations. Building on existing physics…

math.NA2024★ 1 cited

Deep Uzawa for PDE constrained optimisation

Charalambos G. Makridakis, Aaron Pim, Tristan Pryer

In this work, we present a numerical solver for optimal control problems constrained by linear and semi-linear second-order elliptic PDEs. The approach is based on recasting the pr…

math.NA2024★ 1 cited

A nodally bound-preserving discontinuous Galerkin method for the drift-diffusion equation

Gabriel R. Barrenechea, Tristan Pryer, Alex Trenam

In this work, we introduce and analyse discontinuous Galerkin (dG) methods for the drift-diffusion model. We explore two dG formulations: a classical interior penalty approach and…

math.NA2023

A nodally bound-preserving finite element method for reaction-convection-diffusion equations

Abdolreza Amiri, Gabriel R. Barrenechea, Tristan Pryer

This paper introduces a novel approach to approximate a broad range of reaction-convection-diffusion equations using conforming finite element methods while providing a discrete so…

math.NA2023

A Nodally Bound-Preserving Finite Element Method

Gabriel Barrenechea, Emmanuil Georgoulis, Tristan Pryer +1

This work proposes a nonlinear finite element method whose nodal values preserve bounds known for the exact solution. The discrete problem involves a nonlinear projection operator…

math.NA2018

Conservative Galerkin methods for dispersive Hamiltonian problems

James Jackaman, Tristan Pryer

An energy conservative discontinuous Galerkin scheme for a generalised third order KdV type equation is designed. Based on the conservation principle, we propose techniques that al…

math.NA2018

Quasinorms in semilinear elliptic problems

James Jackaman, Tristan Pryer

In this note we examine the a priori and a posteriori analysis of discontinuous Galerkin finite element discretisations of semilinear elliptic PDEs with polynomial nonlinearity. We…

math.NA2018★ 8 cited

A finite element method for the Monge-Ampère equation with transport boundary conditions

Ellya Kawecki, Omar Lakkis, Tristan Pryer

We address the numerical solution via Galerkin type methods of the Monge-Ampère equation with transport boundary conditions arising in optimal mass transport, geometric optics and…

math.NA2018

Recovered finite element methods on polygonal and polyhedral meshes

Zhaonan Dong, Emmanuil H. Georgoulis, Tristan Pryer

Recovered finite element methods (R-FEM) have been recently introduced for meshes consisting of simplicial and/or box-type meshes. Here, utilising the flexibility of R-FEM framewor…

math.NA2017★ 25 cited

Recovered Finite Element Methods

Emmanuil H. Georgoulis, Tristan Pryer

We introduce a family of Galerkin finite element methods which are constructed via recovery operators over element-wise discontinuous approximation spaces. This new family, termed…