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SIAMNUM
2010
96views more  SIAMNUM 2010»
12 years 11 months ago
On the Strong Convergence of Gradients in Stabilized Degenerate Convex Minimization Problems
Infimizing sequences in nonconvex variational problems typically exhibit enforced finer and finer oscillations called microstructures such that the infimal energy is not attained. ...
Wolfgang Boiger, Carsten Carstensen
CORR
2011
Springer
157views Education» more  CORR 2011»
12 years 8 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
MOC
2002
144views more  MOC 2002»
13 years 4 months ago
Convergence rate analysis of an asynchronous space decomposition method for convex Minimization
Abstract. We analyze the convergence rate of an asynchronous space decomposition method for constrained convex minimization in a reflexive Banach space. This method includes as spe...
Xue-Cheng Tai, Paul Tseng
TIP
2002
154views more  TIP 2002»
13 years 4 months ago
Minimizing the total variation under a general convex constraint for image restoration
In this paper, we present a general framework for image restoration; despite its simplicity, certain variational and certain wavelet approaches can be formulated within this framew...
François Malgouyres