output
19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

Showing 2012 · math.NAShow all

6 papers · 2 filters

math.NA2012★ 16 cited

A fast semi-direct least squares algorithm for hierarchically block separable matrices

Kenneth L. Ho, Leslie Greengard

We present a fast algorithm for linear least squares problems governed by hierarchically block separable (HBS) matrices. Such matrices are generally dense but data-sparse and can d…

math.NA2012★ 44 cited

Low Mach Number Fluctuating Hydrodynamics of Diffusively Mixing Fluids

A. Donev, A. J. Nonaka, Y. Sun +3

We formulate low Mach number fluctuating hydrodynamic equations appropriate for modeling diffusive mixing in isothermal mixtures of fluids with different density and transport coef…

math.NA2012★ 3 cited

Variational time discretization of geodesic calculus

Martin Rumpf, Benedikt Wirth

We analyze a variational time discretization of geodesic calculus on finite- and certain classes of infinite-dimensional Riemannian manifolds. We investigate the fundamental proper…

math.NA2012★ 204 cited

Quadrature by Expansion: A New Method for the Evaluation of Layer Potentials

Andreas Klöckner, Alexander Barnett, Leslie Greengard +1

Integral equation methods for the solution of partial differential equations, when coupled with suitable fast algorithms, yield geometrically flexible, asymptotically optimal and w…

math.NA2012★ 3 cited

Inner product quadratures

Yu Chen

We introduce a n-term quadrature to integrate inner products of n functions, as opposed to a Gaussian quadrature to integrate 2n functions. We will characterize and provide computa…

math.NA2012★ 6 cited

How long does it take to compute the eigenvalues of a random symmetric matrix?

Christian W. Pfrang, Percy Deift, Govind Menon

We present the results of an empirical study of the performance of the QR algorithm (with and without shifts) and the Toda algorithm on random symmetric matrices. The random matric…