 Minimum-norm least-squares solution

A minimum-norm least-squares solution minimizes $\Vert Ax-y\Vert$ and, among all such minimizers, minimizes $\Vert x\Vert$. It lies in $(\ker A{)}^{\perp }$ and equals $A^{†}y$ when the Moore–Penrose inverse of an operator is defined at $y$.