20-05 References

References

• S. Boyd, N. Parikh, E. Chu, B. Peleato and J. Eckstein (2010), “Distributed optimization and statistical learning via the alternating direction method of multipliers”
• W. Deng and W. Yin (202), “On the global and linear convergence of the generalized alternating direction method of multipliers”
• M. Hong and Z. Luo (2012), “On the linear convergence of the alternating direction method of multipliers”
• F. lutzeler, P. Bianchi, Ph. Ciblat, and W. Hachem (2014), “Linear convergence rate for distributed optimization with the alternating direction method of multipliers”
• R. Nishihara, L. Lessard, B. Recht, A. Packard, and M. Jordan (2015), “A general analysis of the convergence of ADMM”
• L. Vandenberghe, Lecture Notes for EE 236C, UCLA, Spring 2011-2012