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arxiv: 1702.01850 · v2 · pith:XDTCZT25new · submitted 2017-02-07 · 🧮 math.OC

Convergence rate bounds for a proximal ADMM with over-relaxation stepsize parameter for solving nonconvex linearly constrained problems

classification 🧮 math.OC
keywords admmover-relaxationparameterproximalboundsconstrainedconvergenceinterval
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This paper establishes convergence rate bounds for a variant of the proximal alternating direction method of multipliers (ADMM) for solving nonconvex linearly constrained optimization problems. The variant of the proximal ADMM allows the inclusion of an over-relaxation stepsize parameter belonging to the interval $(0,2)$. To the best of our knowledge, all related papers in the literature only consider the case where the over-relaxation parameter lies in the interval $(0,(1+\sqrt{5})/2)$.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Accelerated Symmetric ADMM and Its Applications in Signal Processing

    math.NA 2019-06 unverdicted novelty 5.0

    A new symmetric accelerated ADMM is introduced with convergence and iteration-complexity analysis for nonconvex problems, tested on sparse signal processing minimization.