Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing. The efficie

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing. The efficie

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

Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a p

Mathematics of Computing -- General.