Wataru Yata

Imposing Early and Asymptotic Constraints on Ligme with Application to Nonconvex Enhancement of Fused Lasso Models

For the constrained LiGME model, a nonconvexly regularized least squares estimation model, under its overall convexity condition, we newly present an iterative algorithm of guaranteed convergence to its globally optimal solution. The proposed algorithm can deal with two different types of constraint…