Sparse Optimization Theory And Methods

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Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing. The efficie
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The method of sparsity has been attracting a lot of attention in the fields related not only to signal processing, machine learning, and statistics, but also sy
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Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a p
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Mathematics of Computing -- General.