In this paper, a hybrid conjugate gradient projection method for finding solutions of constrained nonlinear equations is proposed by integrating both hyperplane projection and hybrid techniques. The k
The high-dimensional linear model y=Xβ0+ϵ is considered and the focus is put on the problem of recovering the support S0 of the sparse vector β0. We introduce a new l1-based estimator, called Lasso-Ze
