Semismooth and semiconvex functions in constrained optimization R Mifflin SIAM Journal on Control and Optimization 15 (6), 959-972, 1977 | 1107 | 1977 |
An algorithm for constrained optimization with semismooth functions R Mifflin Mathematics of Operations Research 2 (2), 191-207, 1977 | 292 | 1977 |
A modification and an extension of Lemaréchal’s algorithm for nonsmooth minimization R Mifflin Nondifferential and variational techniques in optimization, 77-90, 1982 | 226 | 1982 |
Global and superlinear convergence of an algorithm for one-dimensional minimization of convex functions C Lemarechal, R Mifflin Mathematical Programming 24, 241-256, 1982 | 197 | 1982 |
Nonsmooth optimization: proceedings of a IIASA workshop, March 28-April 8, 1977 C Lemarechal, R Mifflin Elsevier, 2014 | 126 | 2014 |
A-algorithm for convex minimization R Mifflin, C Sagastizábal Mathematical programming 104, 583-608, 2005 | 117 | 2005 |
A quasi-second-order proximal bundle algorithm R Mifflin Mathematical Programming 73 (1), 51-72, 1996 | 107 | 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 | 79 | 1998 |
A superlinearly convergent algorithm for minimization without evaluating derivatives R Mifflin Mathematical Programming 9 (1), 100-117, 1975 | 68 | 1975 |
On conditions to have bounded multipliers in locally Lipschitz programming VH Nguyen, JJ Strodiot, R Mifflin Mathematical Programming 18 (1), 100-106, 1980 | 57 | 1980 |
𝒱𝒰-smoothness and proximal point results for some nonconvex functions R Mifflin, C Sagastizábal Optimization Methods and Software 19 (5), 463-478, 2004 | 51 | 2004 |
On \mathcalVU-theory for Functions with Primal-Dual Gradient Structure R Mifflin, C Sagastizábal SIAM Journal on Optimization 11 (2), 547-571, 2000 | 51 | 2000 |
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 |
A stable method for solving certain constrained least squares problems R Mifflin Mathematical Programming 16 (1), 141-158, 1979 | 47 | 1979 |
VU-Decomposition Derivatives for Convex Max-Functions R Mifflin, C Sagastizábal Ill-posed Variational Problems and Regularization Techniques: Proceedings of …, 1999 | 45 | 1999 |
Stationarity and superlinear convergence of an algorithm for univariate locally Lipschitz constrained minimization R Mifflin Mathematical Programming 28, 50-71, 1984 | 35 | 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 | 26 | 1999 |
A science fiction story in nonsmooth optimization originating at IIASA R Mifflin, C Sagastizábal this volume, 2012 | 21 | 2012 |