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A Note on the Alternating Direction Method of Multipliers

Published: 01 October 2012 Publication History

Abstract

We consider the linearly constrained separable convex programming, whose objective function is separable into m individual convex functions without coupled variables. The alternating direction method of multipliers has been well studied in the literature for the special case m=2, while it remains open whether its convergence can be extended to the general case mź3. This note shows the global convergence of this extension when the involved functions are further assumed to be strongly convex.

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Information

Published In

cover image Journal of Optimization Theory and Applications
Journal of Optimization Theory and Applications  Volume 155, Issue 1
October 2012
354 pages

Publisher

Plenum Press

United States

Publication History

Published: 01 October 2012

Author Tags

  1. Alternating direction method of multipliers
  2. Global convergence
  3. Strongly convex functions

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