  The multi-block ADMM has received much attention from optimization
researchers due to its excellent scalability. In this paper, the multi-block
ADMM is applied to solve two large-scale problems related to isotonic
regression. Numerical experiments show that the multi-block ADMM is convergent
when the chosen parameter is small enough and the multi-block ADMM scales well
compared with baselines.
