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E
Ewout van den Berg, “Exact sparse reconstruction and neighbourly polytopes”, in IAM, 2008.
G
Ewout van den Berg, Mark Schmidt, Michael P. Friedlander, and K. Murphy, “Group sparsity via linear-time projection”, UBC - Department of Computer Science, TR-2008-09, 2008.
I
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, presented at the 07, 2007.
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, in 2007 Von Neumann Symposium, 2007.
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, Department of Computer Science, University of British Columbia, Vancouver, TR-EOAS-2007-19, 2007.
N
Gilles Hennenfent, Ewout van den Berg, Michael P. Friedlander, and Felix J. Herrmann, “New insights into one-norm solvers from the Pareto curve”, Geophysics, vol. 73, pp. A23-A26, 2008.
O
Ewout van den Berg, Mark Schmidt, Michael P. Friedlander, and K. Murphy, “Optimizing costly functions with simple constraints: a limited-memory projected Quasi-Newton algorithm”, in SLIM, 2009, vol. 12.
P
Ewout van den Berg and Michael P. Friedlander, “Probing the Pareto frontier for basis pursuit solutions”, SIAM Journal on Scientific Computing, vol. 31, pp. 890-912, 2008.
S
Ewout van den Berg, “Sparco: A testing framework for sparse reconstruction”, in SINBAD 2008, 2008.
Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, and Ozgur Yilmaz, “Sparco: a testing framework for sparse reconstruction”, ACM Transactions on Mathematical Software, vol. 35, pp. 1-16, 2009.
Ewout van den Berg and Michael P. Friedlander, “SPARCO: a toolbox for testing sparse reconstruction algorithms”. 2007.
Ewout van den Berg and Michael P. Friedlander, “Sparse optimization with least-squares constraints”, SIAM Journal on Optimization, vol. 21, pp. 1201–1229, 2011.
Ewout van den Berg and Michael P. Friedlander, “Spot: A linear-operator toolbox for Matlab”, in SCAIM, University of British Columbia, 2009.
T
Ewout van den Berg and Michael P. Friedlander, “Theoretical and empirical results for recovery from multiple measurements”, IEEE Transactions on Information Theory, vol. 56, pp. 2516-2527, 2010.