81 citations · 234 across the 14 of their papers we have counts for
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math.OC2016★ 28 cited
A Fast Gradient Method for Nonnegative Sparse Regression with Self Dictionary
Nicolas Gillis, Robert Luce
A nonnegative matrix factorization (NMF) can be computed efficiently under the separability assumption, which asserts that all the columns of the given input data matrix belong to…
math.NA2016★ 24 cited
Fast computation of the matrix exponential for a Toeplitz matrix
Daniel Kressner, Robert Luce
The computation of the matrix exponential is a ubiquitous operation in numerical mathematics, and for a general, unstructured matrix it can be computed in $\mathcal{O}(…
math.NA2016★ 27 cited
Using separable non-negative matrix factorization techniques for the analysis of time-resolved Raman spectra
Robert Luce, Peter Hildebrandt, Uwe Kuhlmann +1
The key challenge of time-resolved Raman spectroscopy is the identification of the constituent species and the analysis of the kinetics of the underlying reaction network. In this…