activity
20102021
most citedA block preconditioner for non-isothermal flow in porous media

26 citations · 95 across the 9 of their papers we have counts for

collaborators

11 papers

math.NA2021

Space-time block preconditioning for incompressible flow

Federico Danieli, Ben S. Southworth, Andrew J. Wathen

Parallel-in-time methods have become increasingly popular in the simulation of time-dependent numerical PDEs, allowing for the efficient use of additional MPI processes when spatia…

math.NA2020★ 1 cited

Multipreconditioning with application to two-phase incompressible Navier-Stokes flow

Niall Bootland, Andrew Wathen

We consider the use of multipreconditioning to solve linear systems when more than one preconditioner is available but the optimal choice is not known. In particular, we consider a…

stat.CO2019★ 1 cited

Sparse inversion for derivative of log determinant

Shengxin Zhu, Andrew J Wathen

Algorithms for Gaussian process, marginal likelihood methods or restricted maximum likelihood methods often require derivatives of log determinant terms. These log determinants are…

math.NA2019

A constrained pressure-temperature residual (CPTR) method for non-isothermal multiphase flow in porous media

Thomas Roy, Tom B Jönsthövel, Christopher Lemon +1

For both isothermal and thermal petroleum reservoir simulation, the Constrained Pressure Residual (CPR) method is the industry-standard preconditioner. This method is a two-stage p…

math.NA2019★ 26 cited

A block preconditioner for non-isothermal flow in porous media

Thomas Roy, Tom B. Jönsthövel, Christopher Lemon +1

In petroleum reservoir simulation, the industry standard preconditioner, the constrained pressure residual method (CPR), is a two-stage process which involves solving a restricted…

stat.CO2018★ 9 cited

Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models

Shengxin Zhu, Andrew J Wathen

The restricted maximum likelihood method enhances popularity of maximum likelihood methods for variance component analysis on large scale unbalanced data. As the high throughput bi…

math.NA2017★ 18 cited

Preconditioners for Two-Phase Incompressible Navier-Stokes Flow

Niall Bootland, Alistair Bentley, Christopher Kees +1

We consider iterative methods for solving the linearised Navier-Stokes equations arising from two-phase flow problems and the efficient preconditioning of such systems when using m…

math.NA2015

Preconditioning for boundary control problems in incompressible fluid dynamics

Gennadij Heidel, Andy Wathen

PDE-constrained optimization is a field of numerical analysis that combines the theory of PDEs, nonlinear optimization and numerical linear algebra. Optimization problems of this k…

math.NA2014★ 24 cited

Three-field block-preconditioners for models of coupled magma/mantle dynamics

Sander Rhebergen, Garth N. Wells, Andrew J. Wathen +1

For a prescribed porosity, the coupled magma/mantle flow equations can be formulated as a two-field system of equations with velocity and pressure as unknowns. Previous work has sh…

math.NA2013★ 16 cited

Analysis of block-preconditioners for models of coupled magma/mantle dynamics

Sander Rhebergen, Garth N. Wells, Richard F. Katz +1

This article considers the iterative solution of a finite element discretisation of the magma dynamics equations. In simplified form, the magma dynamics equations share some featur…

math.NA2010

Stability and preconditioning for a hybrid approximation on the sphere

Q. T. Le Gia, Ian H. Sloan, Andrew J. Wathen

This paper proposes a new preconditioning scheme for a linear system with a saddle-point structure arising from a hybrid approximation scheme on the sphere, an approximation scheme…