Author:
Becker Stephen R.,Candès Emmanuel J.,Grant Michael C.
Publisher
Springer Science and Business Media LLC
Subject
Software,Theoretical Computer Science
Reference69 articles.
1. Afonso, M.V., Bioucas-Dias, J.M., Figueiredo, M.A.T.: An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems. IEEE Trans. Image Process. 19(11), (2010). doi: 10.1109/TIP.2010.2076294
2. Auslender A., Teboulle M.: Interior gradient and proximal methods for convex and conic optimization. SIAM J. Optim. 16(3), 697–725 (2006)
3. Beck A., Teboulle M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imaging Sci. 2(1), 183–202 (2009)
4. Beck, A., Teboulle, M.: Convex Optimization in Signal Processing and Communications. Gradient-Based Algorithms with Applications in Signal Recovery Problems. Cambridge University Press (2010)
5. Becker S., Bobin J., Candès E.J.: NESTA: a fast and accurate first-order method for sparse recovery. SIAM J. Imaging Sci. 4(1), 1–39 (2011)
Cited by
341 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献