Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications

Qing Qu, Zhihui Zhu, Xiao Li +3

The problem of finding the sparsest vector (direction) in a low dimensional subspace can be considered as a homogeneous variant of the sparse recovery problem, which finds applicat…