activity
20192022
most citedFEAST for differential eigenvalue problems

19 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

math.NA2022

SpecSolve: Spectral methods for spectral measures

Matthew J. Colbrook, Andrew Horning

Self-adjoint operators on infinite-dimensional spaces with continuous spectra are abundant but do not possess a basis of eigenfunctions. Rather, diagonalization is achieved through…

math.NA2021★ 1 cited

Computing spectral properties of topological insulators without artificial truncation or supercell approximation

Matthew J. Colbrook, Andrew Horning, Kyle Thicke +1

Topological insulators (TIs) are renowned for their remarkable electronic properties: quantised bulk Hall and edge conductivities, and robust edge wave-packet propagation, even in…

math.NA2020★ 1 cited

Twice is enough for dangerous eigenvalues

Andrew Horning, Yuji Nakatsukasa

We analyze the stability of a class of eigensolvers that target interior eigenvalues with rational filters. We show that subspace iteration with a rational filter is robust even wh…

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★ 19 cited

FEAST for differential eigenvalue problems

Andrew Horning, Alex Townsend

An operator analogue of the FEAST matrix eigensolver is developed to compute the discrete part of the spectrum of a differential operator in a region of interest in the complex pla…