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Sun Defeng
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Showing results 1 to 20 of 34
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Issue Date
Title
Author(s)
2007
A dual optimization approach to inverse quadratic eigenvalue problems with partial eigenstructure
Bai, Z.-J.
;
Chu, D.
;
Sun, D.
Dec-2002
A feasible semismooth asymptotically Newton method for mixed complementarity problems
Sun, D.
;
Womersley, R.S.
;
Qi, H.
May-2001
A further result on an implicit function theorem for locally Lipschitz functions
Sun, D.
2010
A newton-cg augmented lagrangian method for semidefinite programming
Zhao, X.-Y.
;
Sun, D.
;
Toh, K.-C.
1-Jan-2002
A primal-dual algorithm for minimizing a sum of Euclidean norms
Qi, L.
;
Sun, D.
;
Zhou, G.
2013
A proximal point algorithm for log-determinant optimization with group Lasso regularization
Yang, J.
;
Sun, D.
;
Toh, K.-C.
2006
A quadratically convergent newton method for computing the nearest correlation matrix
Qi, H.
;
Sun, D.
Oct-2006
A smoothing newton-type algorithm of stronger convergence for the quadratically constrained convex quadratic programming
Huang, Z.-H.
;
Sun, D.
;
Zhao, G.
2004
A squared smoothing Newton method for nonsmooth matrix equations and its applications in semidefinite optimization problems
Sun, J.
;
Sun, D.
;
Liqun, Q.I.
Apr-2011
An augmented Lagrangian dual approach for the H-weighted nearest correlation matrix problem
Qi, H.
;
Sun, D.
Jun-2012
An implementable proximal point algorithmic framework for nuclear norm minimization
Liu, Y.-J.
;
Sun, D.
;
Toh, K.-C.
2012
An inexact accelerated proximal gradient method for large scale linearly constrained convex SDP
Jiang, K.
;
Sun, D.
;
Toh, K.-C.
2009
Calibrating least squares semidefinite programming with equality and inequality constraints
Gao, Y.
;
Sun, D.
2003
Complementarity functions and numerical experiments on some smoothing Newton methods for second-order-cone complementarity problems
Chen, X.D.
;
Sun, D.
;
Sun, J.
2008
Constraint nondegeneracy, strong regularity, and nonsingularity in semidefinite programming
Chan, Z.X.
;
Sun, D.
Mar-2010
Correlation stress testing for value-at-risk: An unconstrained convex optimization approach
Qi, H.
;
Sun, D.
17-May-2018
Fast Algorithms for Large-Scale Generalized Distance Weighted Discrimination
Xin Yee Lam
;
J. S. Marron
;
Defeng Sun
;
Kim-Chuan Toh
2018
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters
Yang, Lei
;
Li, Jia
;
Sun Defeng
;
Toh, Kim-Chuan
Nov-2003
Globally and quadratically convergent algorithm for minimizing the sum of Euclidean norms
Zhou, G.
;
Toh, K.C.
;
Sun, D.
2013
Hankel matrix rank minimization with applications to system identification and realization
Maryam, F.
;
Pong, T.K.
;
Sun, D.
;
Tseng, P.