On the Duality Gap Convergence of ADMM Methods
classification
🧮 math.OC
keywords
admmconvergencedualitylinearizedmethodsstandardacceleratedachieve
read the original abstract
This paper provides a duality gap convergence analysis for the standard ADMM as well as a linearized version of ADMM. It is shown that under appropriate conditions, both methods achieve linear convergence. However, the standard ADMM achieves a faster accelerated convergence rate than that of the linearized ADMM. A simple numerical example is used to illustrate the difference in convergence behavior.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.