D. Vargun

activity

20202022

most citedEnabling fast convergence of the iterated penalty Picard iteration with

O (1)

penalty parameter for incompressible Navier-Stokes via Anderson acceleration

5 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

math.NA2022★ 1 cited

Improved convergence of the Arrow-Hurwicz iteration for the Navier-Stokes equation via grad-div stabilization and Anderson acceleration

Pelin G. Geredeli, Leo G. Rebholz, Duygu Vargun +1

We consider two modifications of the Arrow-Hurwicz (AH) iteration for solving the incompressible steady Navier-Stokes equations for the purpose of accelerating the algorithm: grad-…

math.NA2021★ 5 cited

Enabling fast convergence of the iterated penalty Picard iteration with $O (1)$ penalty parameter for incompressible Navier-Stokes via Anderson acceleration

Leo G. Rebholz, Duygu Vargun, Mengying Xiao

This paper considers an enhancement of the classical iterated penalty Picard (IPP) method for the incompressible Navier-Stokes equations, where we restrict our attention to $O (1)$ …

math.NA2020

Continuous data assimilation applied to a velocity-vorticity formulation of the 2D Navier-Stokes equations

Matthew Gardner, Adam Larios, Leo G. Rebholz +2

We study a continuous data assimilation (CDA) algorithm for a velocity-vorticity formulation of the 2D Navier-Stokes equations in two cases: nudging applied to the velocity and vor…

Improved convergence of the Arrow-Hurwicz iteration for the Navier-Stokes equation via grad-div stabilization and Anderson acceleration

Enabling fast convergence of the iterated penalty Picard iteration with O(1) penalty parameter for incompressible Navier-Stokes via Anderson acceleration

Continuous data assimilation applied to a velocity-vorticity formulation of the 2D Navier-Stokes equations

Enabling fast convergence of the iterated penalty Picard iteration with $O (1)$ penalty parameter for incompressible Navier-Stokes via Anderson acceleration