Abstract Regularization of certain linear discrete ill-posed problems, as well regression can be formulated large-scale, possibly nonconvex, minimization whose objective function is the sum p th power ℓ -norm a fidelity term and q regularization term, with 0 < , ≤ 2. We describe new restarted iterative solution methods that require less computer storage execution time than described by Huang...

BACKGROUND Healthy young individuals benefit from sleep to promote offline enhancement of a variety of explicitly learned discrete motor tasks. It remains unknown if sleep will promote learning of other types of explicit tasks. The purpose of this study is to verify the role of sleep in learning an explicitly instructed discrete motor task and to determine if participants who practice an explic...