Work

Painless Breakups—Efficient Demixing of Low Rank Matrices

Year: 2017

Type: article

Source: Journal of Fourier Analysis and Applications

DOI: 10.1007/s00041-017-9564-4

Authors: Thomas Strohmer, Ke Wei

Institution: University of California, Davis

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

Awards: Harmonic analysis, non-convex optimization, and large data sets, Methods and Algorithms from Harmonic Analysis for Threat Detection

OpenAlex ID: W2604615309

FWCI: 0.863

Cites: 44

Cited by: 10

Related to: 10