| The rate of linear convergence of the Douglas-Rachford algorithm for subspaces is the cosine of the Friedrichs angle HH Bauschke, JY Cruz, TTA Nghia, HM Phan, X Wang arXiv preprint arXiv:1309.4709, 2013 | 123 | 2013 |
| Linear convergence of the Douglas–Rachford method for two closed sets HM Phan Optimization 65 (2), 369-385, 2016 | 105 | 2016 |
| Linear and strong convergence of algorithms involving averaged nonexpansive operators HH Bauschke, D Noll, HM Phan Journal of Mathematical Analysis and Applications 421 (1), 1-20, 2015 | 101 | 2015 |
| Restricted normal cones and the method of alternating projections: theory HH Bauschke, DR Luke, HM Phan, X Wang Set-Valued and Variational Analysis 21, 431-473, 2013 | 87 | 2013 |
| Restricted normal cones and sparsity optimization with affine constraints HH Bauschke, DR Luke, HM Phan, X Wang Foundations of Computational Mathematics 14, 63-83, 2014 | 67 | 2014 |
| Restricted normal cones and the method of alternating projections: applications HH Bauschke, DR Luke, HM Phan, X Wang Set-Valued and Variational Analysis 21, 475-501, 2013 | 65 | 2013 |
| Variational analysis of marginal functions with applications to bilevel programming BS Mordukhovich, NM Nam, HM Phan Journal of Optimization Theory and Applications 152, 557-586, 2012 | 54 | 2012 |
| Adaptive Douglas--Rachford splitting algorithm for the sum of two operators MN Dao, HM Phan SIAM Journal on Optimization 29 (4), 2697-2724, 2019 | 41 | 2019 |
| Generalized Newton’s method based on graphical derivatives T Hoheisel, C Kanzow, BS Mordukhovich, H Phan Nonlinear Analysis: Theory, Methods & Applications 75 (3), 1324-1340, 2012 | 34 | 2012 |
| On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces HH Bauschke, MN Dao, D Noll, HM Phan Journal of Global Optimization 65, 329-349, 2016 | 30 | 2016 |
| Linear convergence of projection algorithms MN Dao, HM Phan Mathematics of Operations Research 44 (2), 715-738, 2019 | 28 | 2019 |
| Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems MN Dao, HM Phan Journal of Global Optimization 72, 443-474, 2018 | 28 | 2018 |
| Conical averagedness and convergence analysis of fixed point algorithms S Bartz, MN Dao, HM Phan Journal of Global Optimization 82 (2), 351-373, 2022 | 25 | 2022 |
| The method of alternating relaxed projections for two nonconvex sets HH Bauschke, HM Phan, X Wang Vietnam Journal of Mathematics 42, 421-450, 2014 | 24 | 2014 |
| Proximal point algorithm, Douglas-Rachford algorithm and alternating projections: a case study HH Bauschke, MN Dao, D Noll, HM Phan arXiv preprint arXiv:1501.06603, 2015 | 23 | 2015 |
| Tangential extremal principles for finite and infinite systems of sets II: applications to semi-infinite and multiobjective optimization BS Mordukhovich, HM Phan Mathematical programming 136 (1), 31-63, 2012 | 21 | 2012 |
| Optimal rates of convergence of matrices with applications HH Bauschke, JY Cruz, TTA Nghia, HM Phan, X Wang arXiv preprint arXiv:1407.0671, 2014 | 17 | 2014 |
| Stadium norm and Douglas-Rachford splitting: a new approach to road design optimization HH Bauschke, VR Koch, HM Phan Operations Research 64 (1), 201-218, 2016 | 16 | 2016 |
| On the convexity of piecewise-defined functions HH Bauschke, Y Lucet, HM Phan ESAIM: Control, Optimisation and Calculus of Variations 22 (3), 728-742, 2016 | 15 | 2016 |
| Conditional extragradient algorithms for solving variational inequalities Y Bello Cruz, R Diaz Millan, HM Phan Pacific journal of optimization 15 (3), 2019 | 12 | 2019 |
Heinz H. BauschkeProfessor of Mathematics, University of British ColumbiaVerified email at ubc.ca