A simple and efficient algorithm for fused lasso signal approximator with convex loss function

We consider the augmented Lagrangian method (ALM) as a solver for the fused lasso signal approximator (FLSA) problem. The ALM is a dual method in which squares of the constraint functions are added as penalties to the Lagrangian. In order to apply this method to FLSA, two types of auxiliary variable...

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Bibliographic Details
Main Authors: You, Yuan, Lian, Heng, Wang, Lichun
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/107175
http://hdl.handle.net/10220/17942
http://dx.doi.org/10.1007/s00180-012-0373-6
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Institution: Nanyang Technological University
Language: English

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