Work

Robust Computation of Linear Models by Convex Relaxation

Year: 2014

Type: article

Source: Foundations of Computational Mathematics

DOI: 10.1007/s10208-014-9221-0

Authors: Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang

Institutions: University of Minnesota, California Institute of Technology

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2050058873

FWCI: 13.89

Cites: 52

Cited by: 128

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