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20242026
most citedRigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators

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

collaborators

6 papers

math.NA2026

Convex Bernstein limits and sharp recovery on expanding intervals

Matthew J. Colbrook, Catherine Drysdale

We determine when approximation by convex polynomials on expanding intervals converges to best approximation on the real line by convex entire functions of exponential type at most…

math.CO2026

Crown graphs maximise the representation number of bipartite graphs

Matthew J. Colbrook, Catherine Drysdale

The representation number of a graph is the least positive integer for which its vertices can be arranged in a word, each occurring times, so that two distinct letters alte…

quant-ph2025★ 1 cited

Computation and Verification of Spectra for Non-Hermitian Systems

Catherine Drysdale, Matthew Colbrook, Michael T. M. Woodley

We establish a connection between quantum mechanics and computation, revealing fundamental limitations for algorithms computing spectra, especially in non-Hermitian settings. Intro…

math.NA2025

Universal Methods for Nonlinear Spectral Problems

Matthew J. Colbrook, Catherine Drysdale

Nonlinear spectral problems arise across a range of fields, including mechanical vibrations, fluid-solid interactions, and photonic crystals. Discretizing infinite-dimensional nonl…

math.SP2024★ 1 cited

A Novel Use of Pseudospectra in Mathematical Biology: Understanding HPA Axis Sensitivity

Catherine Drysdale, Matthew J. Colbrook

The Hypothalamic-Pituitary-Adrenal (HPA) axis is a major neuroendocrine system, and its dysregulation is implicated in various diseases. This system also presents interesting mathe…

math.DS2024★ 4 cited

Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators

Matthew J. Colbrook, Catherine Drysdale, Andrew Horning

We introduce the Rigged Dynamic Mode Decomposition (Rigged DMD) algorithm, which computes generalized eigenfunction decompositions of Koopman operators. By considering the evolutio…