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An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares.
Seung-Jean Kim
Kwangmoo Koh
Michael Lustig
Stephen P. Boyd
Dimitry Gorinevsky
Published in:
J. Sel. Topics Signal Processing (2007)
Keyphrases
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regularized least squares
interior point methods
sparse representation
quadratic programming
convex optimization
linear programming
semidefinite programming
regularization term
primal dual
linear program
newton method
solving problems
face recognition
total variation