1. Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3, 1–122 (2010)
2. Deng, W., Lai, M. J., Peng, Z. M., Yin, W. T.: Parallel multi-block ADMM with $$o(1/k)$$ o ( 1 / k ) convergence. 2014 (in press)
3. Eckstein, J., Yao, W.: Augmented Lagrangian and alternating direction methods for convex optimization: a tutorial and some illustrative computational results. RUTCOR Research Report RRR 32–2012 (2012)
4. Fortin, M., Glowinski, R.: Augmented lagrangian methods: applications to the numerical solutions of boundary value problems. Stud. Math. Appl. 15. NorthHolland, Amsterdam (1983)
5. Gabay, D., Mercier, B.: A dual algorithm for the solution of nonlinear variational problems via finite-element approximations. Comput. Math. Appl. 2, 17–40 (1976)