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20182022
most citedSufficiently dense Kuramoto networks are globally synchronizing

21 citations · 39 across the 6 of their papers we have counts for

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math.NA20212 cited

An optimal complexity spectral method for Navier--Stokes simulations in the ball

Nicolas Boullé, Jonasz Słomka, Alex Townsend

We develop a spectral method for solving the incompressible generalized Navier--Stokes equations in the ball with no-flux and prescribed slip boundary conditions. The algorithm ach…

math.NA2020

Over-parametrized neural networks as under-determined linear systems

Austin R. Benson, Anil Damle, Alex Townsend

We draw connections between simple neural networks and under-determined linear systems to comprehensively explore several interesting theoretical questions in the study of neural n…

math.NA2020

Computing spectral measures of self-adjoint operators

Matthew J. Colbrook, Andrew Horning, Alex Townsend

Using the resolvent operator, we develop an algorithm for computing smoothed approximations of spectral measures associated with self-adjoint operators. The algorithm can achieve a…

math.NA2019

Computing with functions in the ball

Nicolas Boullé, Alex Townsend

A collection of algorithms in object-oriented MATLAB is described for numerically computing with smooth functions defined on the unit ball in the Chebfun software. Functions are nu…

math.NA2019

Error localization of best L1 polynomial approximants

Yuji Nakatsukasa, Alex Townsend

An important observation in compressed sensing is that the minimizer of an underdetermined linear system is equal to the minimizer when there exists a sparse solu…

math.NA2018

On the compressibility of tensors

Tianyi Shi, Alex Townsend

Tensors are often compressed by expressing them in low rank tensor formats. In this paper, we develop three methodologies that bound the compressibility of a tensor: (1) Algebraic…