Primal–dual hybrid gradient (PDHG) and alternating direction method of multipliers (ADMM) are popular first-order optimization methods. They easy to implement have diverse applications. As methods, however, they sensitive problem conditions can struggle reach the desired accuracy. To improve their performance, researchers proposed techniques such as diagonal preconditioning inexact subproblems....
