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Signal processing / Total variation denoising / Mathematics / Mathematical optimization / Conjugate gradient method / Applied mathematics / Numerical linear algebra / Operations research / Image processing


c 2008 Society for Industrial and Applied Mathematics  SIAM J. IMAGING SCIENCES Vol. 1, No. 1, pp. 143–168
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Document Date: 2008-10-08 17:28:57

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Company

GE / /

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Facility

Columbia University / Rice University / /

Holiday

Assumption / /

IndustryTerm

different intermediate solutions / iterative algorithm / image processing / trivial solution / majorization-minimization algorithms / compressive imaging / multisensor networks / numerical algorithm / microarray processing / Recent applications / imaging / recent graph/networkbased algorithms / recent algorithms / /

Organization

UCLA / Los Angeles / Rice University / Houston / National Science Foundation / Society for Industrial / Department of Computational and Applied Mathematics / Department of Mathematics / Department of Industrial Engineering and Operations Research / Columbia University / New York / /

Person

Stanley Osher / Van den Berg / Donald Goldfarb / Cand / /

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Position

author / Dean of Engineering / /

Product

Bregman / /

ProvinceOrState

Texas / New York / California / Connecticut / /

Technology

recent graph/networkbased algorithms / shrinkage-based algorithm / using majorization-minimization algorithms / DNA Chip / 168 Bregman Iterative Algorithms / existing algorithms / numerical algorithm / image processing / two-line algorithm / MRI / /

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http /

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