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Wednesday, November 8, 2017

Wednesday, November 8, 2017 — 4:00 PM EST

Title: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems 

Speaker: Nargiz Kalantarova Affiliation: University of Waterloo Room: MC 5479

Abstract:

We will be discussing the paper (having the same title) by Amir Beck and Marc Teboulle. We consider the class of iterative shrinkage-thresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class of methods, which can be viewed as an extension of the classical gradient algorithm, is attractive due to its simplicity and thus is adequate for solving large-scale problems even with dense matrix data.

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