共 72 条
- [1] Auslender A(2006)Interior gradient and proximal methods for convex and conic optimization SIAM J. Optim. 16 697-725
- [2] Teboulle M(2009)A fast iterative shrinkage-thresholding agorithm for linear inverse problems SIAM J. Imaging Sci. 2 183-202
- [3] Beck A(2011)Templates for convex cone problems with applications to sparse signal recovery Math. Program. Comput. 3 165-218
- [4] Teboulle M(2011)Square-root LASSO: pivotal recovery of sparse signals via conic programming Biometrika 94 791-806
- [5] Becker S(2011)Distributed optimization and statistical learning via the alternating direction method of multipliers Found. Trends Mach. Learn. 3 1-122
- [6] Candès EJ(2011)A first-order primal-dual algorithm for convex problems with applications to imaging J. Math. Imaging Vis. 40 120-145
- [7] Grant M(2016)On the ergodic convergence rates of a first-order primal–dual algorithm Math. Program. 159 253-287
- [8] Belloni A(1994)A proximal-based decomposition method for convex minimization problems Math. Program. 64 81-101
- [9] Chernozhukov V(2013)A primal–dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms J. Optim. Theory Appl. 158 460-479
- [10] Wang L(2015)Convergence rate analysis of primal–dual splitting schemes SIAM J. Optim. 25 1912-1943