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Local Linear Convergence of the ADMM/Douglas--Rachford Algorithms without Strong Convexity and Application to Statistical Imaging - MaRDI portal

Local Linear Convergence of the ADMM/Douglas--Rachford Algorithms without Strong Convexity and Application to Statistical Imaging (Q3188209)

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Local Linear Convergence of the ADMM/Douglas--Rachford Algorithms without Strong Convexity and Application to Statistical Imaging
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    Local Linear Convergence of the ADMM/Douglas--Rachford Algorithms without Strong Convexity and Application to Statistical Imaging (English)
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    17 August 2016
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    alternating directions method of multipliers
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    Douglas-Rachford algorithm
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    augmented Lagrangian
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    exact penalization
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    fixed point theory
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    image processing
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    inverse problems
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    metric regularity
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    statistical multiscale analysis
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    linear convergence
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