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Group sparsity combines the underlying sparsity and group structure of the data in problems. We develop a proximally linearized algorithm InISSAPL for the non-Lipschitz group sparse $\ell_{p,q}$-$\ell_r$ optimization problem.

An efficient and globally convergent algorithm for $\ell_{p,q} - \ell_r$ model in group sparse optimization