activity
20132025
most citedNovel numerical analysis of multi-term time fractional viscoelastic non-Newtonian fluid models for simulating unsteady MHD Couette flow of a generalized Oldroyd-B fluid

89 citations · 283 across the 17 of their papers we have counts for

collaborators

18 papers

cs.RO2025

Long Exposure Localization in Darkness Using Consumer Cameras

Michael Milford, Ian Turner, Peter Corke

In this paper we evaluate performance of the SeqSLAM algorithm for passive vision-based localization in very dark environments with low-cost cameras that result in massively blurre…

math.NA2021

The use of a time-fractional transport model for performing computational homogenisation of 2D heterogeneous media exhibiting memory effects

Libo Feng, Ian Turner, Patrick Perre +1

In this work, a two-dimensional time-fractional subdiffusion model is developed to investigate the underlying transport phenomena evolving in a binary medium comprised of two sub-d…

physics.med-ph2020★ 2 cited

Homogenisation for the monodomain model in the presence of microscopic fibrotic structures

Brodie A. J. Lawson, Rodrigo Weber dos Santos, Ian W. Turner +3

Computational models in cardiac electrophysiology are notorious for long runtimes, restricting the numbers of nodes and mesh elements in the numerical discretisations used for thei…

math.NA2020★ 7 cited

Implicit reconstructions of thin leaf surfaces from large, noisy point clouds

Riley M. Whebell, Timothy J. Moroney, Ian W. Turner +2

Thin surfaces, such as the leaves of a plant, pose a significant challenge for implicit surface reconstruction techniques, which typically assume a closed, orientable surface. We s…

physics.comp-ph2020★ 8 cited

Numerical investigation into coarse-scale models of diffusion in complex heterogeneous media

Nathan G. March, Elliot J. Carr, Ian W. Turner

Computational modelling of diffusion in heterogeneous media is prohibitively expensive for problems with fine-scale heterogeneities. A common strategy for resolving this issue is t…

math.NA2020★ 32 cited

High-order numerical methods for the Riesz space fractional advection-dispersion equations

Libo Feng, Pinghui Zhuang, Fawang Liu +2

In this paper, we propose high-order numerical methods for the Riesz space fractional advection-dispersion equations (RSFADE) on a {f}inite domain. The RSFADE is obtained from the…

stat.CO2019★ 2 cited

Efficient Bayesian synthetic likelihood with whitening transformations

Jacob W. Priddle, Scott A. Sisson, David T. Frazier +1

Likelihood-free methods are an established approach for performing approximate Bayesian inference for models with intractable likelihood functions. However, they can be computation…

math.NA2019★ 12 cited

A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations

Fanhai Zeng, Ian Turner, Kevin Burrage +1

In this paper, we develop regularized discrete least squares collocation and finite volume methods for solving two-dimensional nonlinear time-dependent partial differential equatio…

math.NA2019★ 20 cited

An unstructured mesh control volume method for two-dimensional space fractional diffusion equations with variable coefficients on convex domains

Libo Feng, Fawang Liu, Ian Turner

In this paper, we propose a novel unstructured mesh control volume method to deal with the space fractional derivative on arbitrarily shaped convex domains, which to the best of ou…

math.NA2018★ 14 cited

Efficient multistep methods for tempered fractional calculus: Algorithms and Simulations

Ling Guo, Fanhai Zeng, Ian Turner +2

In this work, we extend the fractional linear multistep methods in [C. Lubich, SIAM J. Math. Anal., 17 (1986), pp.704--719] to the tempered fractional integral and derivative opera…

math.NA2018★ 11 cited

A fast algorithm for semi-analytically solving the homogenization boundary value problem for block locally-isotropic heterogeneous media

Nathan G. March, Elliot J. Carr, Ian W. Turner

Direct numerical simulation of diffusion through heterogeneous media can be difficult due to the computational cost of resolving fine-scale heterogeneities. One method to overcome…

math.NA2018★ 6 cited

Computational modelling of cardiac ischaemia using a variable-order fractional Laplacian

Megan E. Farquhar, Timothy J. Moroney, Qianqian Yang +2

Heart failure is one of the most common causes of death in the western world. Many heart problems are linked to disturbances in cardiac electrical activity, such as wave re-entry c…

math.NA2018★ 1 cited

A new class of semi-implicit methods with linear complexity for nonlinear fractional differential equations

Fanhai Zeng, Ian Turner, Kevin Burrage +1

We propose a new class of semi-implicit methods for solving nonlinear fractional differential equations and study their stability. Several versions of our new schemes are proved to…

math.NA2017★ 89 cited

Novel numerical analysis of multi-term time fractional viscoelastic non-Newtonian fluid models for simulating unsteady MHD Couette flow of a generalized Oldroyd-B fluid

Libo Feng, Fawang Liu, Ian Turner +1

In recent years, non-Newtonian fluids have received much attention due to their numerous applications, such as plastic manufacture and extrusion of polymer fluids. They are more co…

math.NA2017

On the analysis of mixed-index time fractional differential equation systems

Kevin Burrage, Pamela M. Burrage, Ian W. Turner +1

In this paper we study the class of mixed-index time fractional differential equations in which different components of the problem have different time fractional derivatives on th…

math.NA2017★ 3 cited

A stable fast time-stepping method for fractional integral and derivative operators

Fanhai Zeng, Ian Turner, Kevin Burrage

A unified fast time-stepping method for both fractional integral and derivative operators is proposed. The fractional operator is decomposed into a local part with memory length $Δ…

stat.CO2013★ 6 cited

Scalable iterative methods for sampling from massive Gaussian random vectors

Daniel P. Simpson, Ian W. Turner, Christopher M. Strickland +1

Sampling from Gaussian Markov random fields (GMRFs), that is multivariate Gaussian ran- dom vectors that are parameterised by the inverse of their covariance matrix, is a fundament…

math.OC2013★ 70 cited

A discrete time method to the first variation of fractional order variational functionals

Shakoor Pooseh, Ricardo Almeida, Delfim F. M. Torres

The fact that the first variation of a variational functional must vanish along an extremizer is the base of most effective solution schemes to solve problems of the calculus of va…