Hankel matrix rank minimization with applications to system identification and realization M Fazel, TK Pong, D Sun, P Tseng SIAM Journal on Matrix Analysis and Applications 34 (3), 946-977, 2013 | 553 | 2013 |
A new look at smoothing Newton methods for nonlinear complementarity problems and box constrained variational inequalities L Qi, D Sun, G Zhou Mathematical programming 87, 1-35, 2000 | 479 | 2000 |
A Newton-CG augmented Lagrangian method for semidefinite programming XY Zhao, D Sun, KC Toh SIAM Journal on Optimization 20 (4), 1737-1765, 2010 | 450 | 2010 |
Global and superlinear convergence of the smoothing Newton method and its application to general box constrained variational inequalities X Chen, L Qi, D Sun Mathematics of computation 67 (222), 519-540, 1998 | 378 | 1998 |
A quadratically convergent Newton method for computing the nearest correlation matrix H Qi, D Sun SIAM journal on matrix analysis and applications 28 (2), 360-385, 2006 | 353 | 2006 |
Convergence properties of nonlinear conjugate gradient methods Y Dai, J Han, G Liu, D Sun, H Yin, Y Yuan SIAM Journal on Optimization 10 (2), 345-358, 2000 | 328 | 2000 |
Semismooth matrix-valued functions D Sun, J Sun Mathematics of Operations Research 27 (1), 150-169, 2002 | 286 | 2002 |
SDPNAL: a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints L Yang, D Sun, KC Toh Mathematical Programming Computation 7 (3), 331-366, 2015 | 240 | 2015 |
Complementarity functions and numerical experiments on some smoothing Newton methods for second-order-cone complementarity problems XD Chen, D Sun, J Sun Computational optimization and applications 25, 39-56, 2003 | 231 | 2003 |
On NCP-functions D Sun, L Qi Computational Optimization and Applications 13, 201-220, 1999 | 225 | 1999 |
The strong second-order sufficient condition and constraint nondegeneracy in nonlinear semidefinite programming and their implications D Sun Mathematics of Operations Research 31 (4), 761-776, 2006 | 205 | 2006 |
A highly efficient semismooth Newton augmented Lagrangian method for solving Lasso problems X Li, D Sun, KC Toh SIAM Journal on Optimization 28 (1), 433-458, 2018 | 186 | 2018 |
A class of iterative methods for solving nonlinear projection equations D Sun Journal of Optimization Theory and Applications 91, 123-140, 1996 | 175 | 1996 |
A convergent 3-block semiproximal alternating direction method of multipliers for conic programming with 4-type constraints D Sun, KC Toh, L Yang SIAM journal on Optimization 25 (2), 882-915, 2015 | 174* | 2015 |
Semismooth homeomorphisms and strong stability of semidefinite and Lorentz complementarity problems JS Pang, D Sun, J Sun Mathematics of Operations Research 28 (1), 39-63, 2003 | 173 | 2003 |
The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming D Sun, J Sun, L Zhang Mathematical Programming 114 (2), 349-391, 2008 | 165 | 2008 |
Löwner's operator and spectral functions in Euclidean Jordan algebras D Sun, J Sun Mathematics of Operations Research 33 (2), 421-445, 2008 | 162 | 2008 |
An efficient inexact symmetric Gauss–Seidel based majorized ADMM for high-dimensional convex composite conic programming L Chen, D Sun, KC Toh Mathematical Programming 161, 237-270, 2017 | 158 | 2017 |
A Schur complement based semi-proximal ADMM for convex quadratic conic programming and extensions X Li, D Sun, KC Toh Mathematical Programming 155 (1), 333-373, 2016 | 149 | 2016 |
An implementable proximal point algorithmic framework for nuclear norm minimization YJ Liu, D Sun, KC Toh Mathematical programming 133, 399-436, 2012 | 147 | 2012 |