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), 1–122 (2011)
2. Chambolle, A., Pock, T.: An introduction to continuous optimization for imaging. Acta Numerica 25, 161–319 (2016)
3. Glowinski, R., Marrocco, A.: Sur l’approximation, par éléments finis d’ordre un, et la résolution, par pénalisation-dualité d’une classe de problèmes de Dirichlet non linéaires. ESAIM Math. Model. Numér. 9(2), 41–76 (1975)
4. Chan, T., Glowinski, R.: Finite Element Approximation and Iterative Solution of a Class of Mildly Non-linear Elliptic Equations. Stanford University, Stanford (1978)
5. Glowinski, R., Osher, S., Yin, W. (eds.): Splitting Methods in Communication, Imaging, Science, and Engineering. Springer, Berlin (2016)