Optimization via Adaptive Resolvent Splitting
Talk, Operations Research Seminar, Monterey, California
I described a novel method for building splitting algorithms for convex optimization problems. The method is based on the proximal resolvent operator, and it allows for the construction of adaptive splitting algorithms that can be tuned to the problem at hand.