| Semismooth and semiconvex functions in constrained optimization R Mifflin SIAM Journal on Control and Optimization 15 (6), 959-972, 1977 | 1079 | 1977 |
| An algorithm for constrained optimization with semismooth functions R Mifflin Mathematics of Operations Research 2 (2), 191-207, 1977 | 287 | 1977 |
| A modification and an extension of Lemaréchal’s algorithm for nonsmooth minimization R Mifflin Nondifferential and variational techniques in optimization, 77-90, 1982 | 218 | 1982 |
| Global and superlinear convergence of an algorithm for one-dimensional minimization of convex functions C Lemaréchal, R Mifflin Mathematical Programming 24, 241-256, 1982 | 192 | 1982 |
| Nonsmooth optimization: proceedings of a IIASA workshop, March 28-April 8, 1977 C Lemarechal, R Mifflin Elsevier, 2014 | 125 | 2014 |
| A-algorithm for convex minimization R Mifflin, C Sagastizábal Mathematical programming 104, 583-608, 2005 | 111 | 2005 |
| A-algorithm for convex minimization R Mifflin, C Sagastizábal Mathematical programming 104, 583-608, 2005 | 111 | 2005 |
| A quasi-second-order proximal bundle algorithm R Mifflin Mathematical Programming 73 (1), 51-72, 1996 | 108 | 1996 |
| Quasi-Newton bundle-type methods for nondifferentiable convex optimization R Mifflin, D Sun, L Qi SIAM Journal on Optimization 8 (2), 583-603, 1998 | 78 | 1998 |
| A superlinearly convergent algorithm for minimization without evaluating derivatives R Mifflin Mathematical Programming 9 (1), 100-117, 1975 | 67 | 1975 |
| On conditions to have bounded multipliers in locally Lipschitz programming VH Nguyen, JJ Strodiot, R Mifflin Mathematical Programming 18 (1), 100-106, 1980 | 56 | 1980 |
| On \mathcalVU-theory for Functions with Primal-Dual Gradient Structure R Mifflin, C Sagastizábal SIAM Journal on Optimization 11 (2), 547-571, 2000 | 53 | 2000 |
| 𝒱𝒰-smoothness and proximal point results for some nonconvex functions R Mifflin, C Sagastizábal Optimization Methods and Software 19 (5), 463-478, 2004 | 50 | 2004 |
| Proximal points are on the fast track R Mifflin, C Sagastizábal Journal of Convex Analysis 9 (2), 563-580, 2002 | 50 | 2002 |
| Primal-dual gradient structured functions: second-order results; links to epi-derivatives and partly smooth functions R Mifflin, C Sagastizábal SIAM Journal on Optimization 13 (4), 1174-1194, 2003 | 48 | 2003 |
| VU-Decomposition Derivatives for Convex Max-Functions R Mifflin, C Sagastizábal Ill-posed Variational Problems and Regularization Techniques: Proceedings of …, 1999 | 46 | 1999 |
| A stable method for solving certain constrained least squares problems R Mifflin Mathematical Programming 16 (1), 141-158, 1979 | 45 | 1979 |
| Stationarity and superlinear convergence of an algorithm for univariate locally Lipschitz constrained minimization R Mifflin Mathematical Programming 28, 50-71, 1984 | 33 | 1984 |
| Convergence bounds for nonlinear programming algorithms R Mifflin Mathematical Programming 8 (1), 251-271, 1975 | 29 | 1975 |
| Properties of the Moreau-Yosida regularization of a piecewise C [sup 2] convex function. R Mifflin, L Qi, D Sun Mathematical programming 84 (2), 1999 | 25 | 1999 |
Defeng Sun (孙德锋)Chair Professor of Applied Optimization and OR, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
