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The sparse optimization problem, which aims at addressing the feature selection problem, has garnered increasing attention in the fields of statistics, machine and deep learning. In this paper, we focus on exact sparse o...
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Solving large scale nonlinear optimization problems requires either significant computing resources or the development of specialized algorithms. For Linear Programming (LP) problems, decomposition methods can take advan...