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The special importance of regularization has been recognized in recent studies on sparse modeling (particularly on compressed sensing). The regularization, however, leads to a nonconvex, nonsmooth, and non-Lipschitz optimization problem that is difficult to solve fast and efficiently. In this paper, through developing a threshoding representation theory for regularization,...