Interior-point proximal methods for nonsmooth optimization in Hilbert spaces with cone-ordered constraints
This work develops an interior-point method for solving nonsmooth optimization problems in Hilbert spaces with cone constraints, unifying finite and infinite-dimensional applications like PDE control. It proves convergence to KKT points and derives complexity bounds, showing that logarithmic barriers are more efficient than power barriers.