On the Treatment of Optimization Problems With L1 Penalty Terms via Multiobjective Continuation

We present a novel algorithm that allows us to gain detailed insight into the effects of sparsity in linear and nonlinear optimization. Sparsity is of great importance in many scientific areas such as image and signal processing, medical imaging, compressed sensing, and machine learning, as it ensur...

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