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Sparse approximation addresses the problem of approximately fitting a linear model with a solution having as few non-zero components as possible. While most sparse estimation algorithms rely on suboptimal formulations, this work studies the performance of exact optimization of -norm-based problems through Mixed-Integer Programs (MIPs). Nine different sparse optimization problems are formulated...
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