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19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

Showing 2020 · math.NAShow all

9 papers · 2 filters

math.NA2020★ 25 cited

Adjoint DSMC for nonlinear Boltzmann equation constrained optimization

Russel Caflisch, Denis Silantyev, Yunan Yang

Applications for kinetic equations such as optimal design and inverse problems often involve finding unknown parameters through gradient-based optimization algorithms. Based on the…

math.NA2020★ 33 cited

An integral-based spectral method for inextensible slender fibers in Stokes flow

Ondrej Maxian, Alex Mogilner, Aleksandar Donev

Every animal cell is filled with a cytoskeleton, a dynamic gel made of inextensible fibers, such as microtubules, actin fibers, and intermediate filaments, all suspended in a visco…

math.NA2020★ 11 cited

Fast multipole methods for evaluation of layer potentials with locally-corrected quadratures

Leslie Greengard, Michael O'Neil, Manas Rachh +1

While fast multipole methods (FMMs) are in widespread use for the rapid evaluation of potential fields governed by the Laplace, Helmholtz, Maxwell or Stokes equations, their coupli…

math.NA2020★ 8 cited

Error bounds for dynamical spectral estimation

Robert J. Webber, Erik H. Thiede, Douglas Dow +2

Dynamical spectral estimation is a well-established numerical approach for estimating eigenvalues and eigenfunctions of the Markov transition operator from trajectory data. Althoug…

math.NA2020★ 44 cited

A Reynolds-robust preconditioner for the Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations

Patrick E. Farrell, Lawrence Mitchell, L. Ridgway Scott +1

Augmented Lagrangian preconditioners have successfully yielded Reynolds-robust preconditioners for the stationary incompressible Navier-Stokes equations, but only for specific disc…

math.NA2020★ 11 cited

Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies

Johann Rudi, Yu-hsuan Shih, Georg Stadler

Strain localization and resulting plasticity and failure play an important role in the evolution of the lithosphere. These phenomena are commonly modeled by Stokes flows with visco…