On the Information-Adaptive Variants of the ADMM: An Iteration Complexity Perspective

  title={On the Information-Adaptive Variants of the ADMM: An Iteration Complexity Perspective},
  author={Xiang Gao and Bo Jiang and Shuzhong Zhang},
  journal={J. Sci. Comput.},
Designing algorithms for an optimization model often amounts to maintaining a balance between the degree of information to request from the model on the one hand, and the computational speed to expect on the other hand. Naturally, the more information is available, the faster one can expect the algorithm to converge. The popular algorithm of ADMM demands that objective function is easy to optimize once the coupled constraints are shifted to the objective with multipliers. However, in many… CONTINUE READING
Highly Cited
This paper has 31 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 21 extracted citations

Distributed Linearized ADMM for Network Cost Minimization

IEEE Transactions on Signal and Information Processing over Networks • 2018
View 3 Excerpts
Highly Influenced


Publications referenced by this paper.
Showing 1-10 of 38 references

Random Gradient-Free Minimization of Convex Functions

Foundations of Computational Mathematics • 2017
View 6 Excerpts
Highly Influenced

On the convergence rate of multi-block ADMM

T. Lin, S. Ma, S. Zhang
Optimization Online, • 2014
View 3 Excerpts

Similar Papers

Loading similar papers…