Convex analysis and monotone operator theory in Hilbert spaces HH Bauschke, PL Combettes Convex Analysis and Monotone Operator Theory in Hilbert Spaces, 2017 | 6144 | 2017 |
Signal recovery by proximal forward-backward splitting PL Combettes, VR Wajs Multiscale modeling & simulation 4 (4), 1168-1200, 2005 | 3310 | 2005 |
Proximal splitting methods in signal processing PL Combettes, JC Pesquet Fixed-point algorithms for inverse problems in science and engineering, 185-212, 2011 | 3082 | 2011 |
Equilibrium programming in Hilbert spaces PL Combettes, SA Hirstoaga J. Nonlinear Convex Anal 6 (1), 117-136, 2005 | 1362 | 2005 |
The foundations of set theoretic estimation PL Combettes Proceedings of the IEEE 81 (2), 182-208, 1993 | 872 | 1993 |
Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization HH Bauschke, PL Combettes, DR Luke JOSA A 19 (7), 1334-1345, 2002 | 707 | 2002 |
The convex feasibility problem in image recovery PL Combettes Advances in imaging and electron physics 95, 155-270, 1996 | 608 | 1996 |
A Douglas–Rachford splitting approach to nonsmooth convex variational signal recovery PL Combettes, JC Pesquet IEEE Journal of Selected Topics in Signal Processing 1 (4), 564-574, 2007 | 596 | 2007 |
Solving monotone inclusions via compositions of nonexpansive averaged operators PL Combettes* Optimization 53 (5-6), 475-504, 2004 | 533 | 2004 |
A weak-to-strong convergence principle for Fejér-monotone methods in Hilbert spaces HH Bauschke, PL Combettes Mathematics of operations research 26 (2), 248-264, 2001 | 525 | 2001 |
Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators PL Combettes, JC Pesquet Set-Valued and variational analysis 20 (2), 307-330, 2012 | 456 | 2012 |
Essential smoothness, essential strict convexity, and Legendre functions in Banach spaces HH Bauschke, JM Borwein, PL Combettes Communications in Contemporary Mathematics 3 (04), 615-647, 2001 | 368 | 2001 |
Bregman monotone optimization algorithms HH Bauschke, JM Borwein, PL Combettes SIAM Journal on control and optimization 42 (2), 596-636, 2003 | 354 | 2003 |
Fixed-point algorithms for inverse problems in science and engineering HH Bauschke, RS Burachik, PL Combettes, V Elser, DR Luke, ... Springer Science & Business Media, 2011 | 342 | 2011 |
A proximal decomposition method for solving convex variational inverse problems PL Combettes, JC Pesquet Inverse problems 24 (6), 065014, 2008 | 335 | 2008 |
A variational formulation for frame-based inverse problems C Chaux, PL Combettes, JC Pesquet, VR Wajs Inverse Problems 23 (4), 1495, 2007 | 317 | 2007 |
Quasi-Fejérian analysis of some optimization algorithms PL Combettes Studies in Computational Mathematics 8, 115-152, 2001 | 299 | 2001 |
A monotone+ skew splitting model for composite monotone inclusions in duality LM Briceno-Arias, PL Combettes SIAM Journal on Optimization 21 (4), 1230-1250, 2011 | 297 | 2011 |
Hybrid projection–reflection method for phase retrieval HH Bauschke, PL Combettes, DR Luke JOSA A 20 (6), 1025-1034, 2003 | 290 | 2003 |
Image restoration subject to a total variation constraint PL Combettes, JC Pesquet IEEE transactions on image processing 13 (9), 1213-1222, 2004 | 273 | 2004 |