activity
20102026
most citedAutomated derivation of the adjoint of high-level transient finite element programs

256 citations · 934 across the 55 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

math.NA2020

Finite element appoximation and augmented Lagrangian preconditioning for anisothermal implicitly-constituted non-Newtonian flow

Patrick Farrell, Pablo Alexei Gazca Orozco, Endre Süli

We devise 3-field and 4-field finite element approximations of a system describing the steady state of an incompressible heat-conducting fluid with implicit non-Newtonian rheology.…

math.NA2020

Irksome: Automating Runge--Kutta time-stepping for finite element methods

Patrick E. Farrell, Robert C. Kirby, Jorge Marchena-Menendez

While implicit Runge--Kutta methods possess high order accuracy and important stability properties, implementation difficulties and the high expense of solving the coupled algebrai…

math.NA2020★ 3 cited

Monolithic Multigrid for Magnetohydrodynamics

J. H. Adler, T. Benson, E. C. Cyr +3

The magnetohydrodynamics (MHD) equations model a wide range of plasma physics applications and are characterized by a nonlinear system of partial differential equations that strong…

math.NA2020

Augmented saddle point formulation of the steady-state Stefan--Maxwell diffusion problem

Alexander Van-Brunt, Patrick E. Farrell, Charles W. Monroe

We investigate structure-preserving finite element discretizations of the steady-state Stefan--Maxwell diffusion problem which governs diffusion within a phase consisting of multip…

math.NA2020★ 3 cited

An augmented Lagrangian preconditioner for implicitly-constituted non-Newtonian incompressible flow

P. E. Farrell, P. A. Gazca-Orozco

We propose an augmented Lagrangian preconditioner for a three-field stress-velocity-pressure discretization of stationary non-Newtonian incompressible flow with an implicit constit…

math.NA2020

Computing multiple solutions of topology optimization problems

Ioannis P. A. Papadopoulos, Patrick E. Farrell, Thomas M. Surowiec

Topology optimization problems often support multiple local minima due to a lack of convexity. Typically, gradient-based techniques combined with continuation in model parameters a…