As a tractable approach, regularization is frequently adopted in sparse optimization. This gives rise to regularized optimization, which aims minimize the ?0 norm or its continuous surrogates that characterize sparsity. From continuity of discreteness norm, most challenging model ?0-regularized There an impressive body work on development numerical algorithms overcome this challenge. However, d...
