Variable splitting

In applied mathematics and computer science, variable splitting is a decomposition method that relaxes a set of constraints.
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Papers overview

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2016
2016
Discrete tomography problems require the generation of an underlying attenuation field over a combinatorial set that renders the… (More)
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2016
2016
Analysis-form sparsity, like total variation regularization, is incorporated into a variable splitting framework for the phase… (More)
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2012
2012
The variable splitting method for free-variable calculi provides an admissibility condition under which the same free variables… (More)
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Highly Cited
2012
Highly Cited
2012
Statistical image reconstruction using penalized weighted least-squares (PWLS) criteria can improve image-quality in X-ray… (More)
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2012
2012
The problem of reconstruction of digital images from their degraded measurements has always been a problem of central importance… (More)
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Highly Cited
2010
Highly Cited
2010
We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction which… (More)
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Highly Cited
2010
Highly Cited
2010
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic… (More)
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Highly Cited
2009
Highly Cited
2009
This paper presents a new linear hyperspectral unmixing method of the minimum volume class, termed simplex identification via… (More)
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2006
2006
Variable splitting is a technique applicable to free variable tableaux, sequent calculi, and matrix characterizations that… (More)
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2004
2004
This extended abstract motivates and presents techniques for identifying variable independence in free variable calculi for… (More)
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