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Kim-Chuan Toh
Kim-Chuan Toh
Professor of Mathematics, National University of Singapore
Verified email at nus.edu.sg
Title
Cited by
Cited by
Year
SDPT3—a MATLAB software package for semidefinite programming, version 1.3
KC Toh, MJ Todd, RH Tütüncü
Optimization Methods and Software 11 (1-4), 545-581, 1999
25581999
Solving semidefinite-quadratic-linear programs using SDPT3
RH Tütüncü, KC Toh, MJ Todd
Mathematical programming 95 (2), 189-217, 2003
15512003
An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems
KC Toh, S Yun
Pacific Journal of Optimization 6, 615--640, 2010
12942010
Semidefinite programming approaches for sensor network localization with noisy distance measurements
P Biswas, TC Liang, KC Toh, Y Ye, TC Wang
IEEE transactions on automation science and engineering 3 (4), 360-371, 2006
5672006
A Newton-CG augmented Lagrangian method for semidefinite programming
XY Zhao, D Sun, KC Toh
SIAM J. Optimization 20, 1737--1765, 2010
4462010
On the Nesterov--Todd direction in semidefinite programming
MJ Todd, KC Toh, RH Tütüncü
SIAM Journal on Optimization 8 (3), 769-796, 1998
4361998
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
2402015
On the implementation and usage of SDPT3–a Matlab software package for semidefinite-quadratic-linear programming, version 4.0
KC Toh, MJ Todd, RH Tütüncü
Handbook on Semidefinite, Conic and Polynomial Optimization, 715-754, 2012
2392012
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
1782018
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
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
1562017
An inexact interior point method for L 1-regularized sparse covariance selection
L Li, KC Toh
Mathematical Programming Computation 2, 291-315, 2010
1562010
From potential theory to matrix iterations in six steps
TA Driscoll, KC Toh, LN Trefethen
SIAM review, 547-578, 1998
1531998
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
1482016
Pseudozeros of polynomials and pseudospectra of companion matrices
KC Toh, LN Trefethen
Numerische Mathematik 68 (3), 403-425, 1994
1451994
An implementable proximal point algorithmic framework for nuclear norm minimization
YJ Liu, D Sun, KC Toh
Mathematical Programming 133, 399--436, 2012
1442012
3D chromosome modeling with semi-definite programming and Hi-C data
ZZ Zhang, G Li, KC Toh, WK Sung
Journal of computational biology 20 (11), 831-846, 2013
1382013
A distributed SDP approach for large-scale noisy anchor-free graph realization with applications to molecular conformation
P Biswas, KC Toh, Y Ye
SIAM Journal on Scientific Computing 30 (3), 1251--1277, 2008
1382008
Solving log-determinant optimization problems by a Newton-CG primal proximal point algorithm
C Wang, D Sun, KC Toh
SIAM Journal on Optimization 20 (6), 2994--3013, 2010
1352010
A coordinate gradient descent method for 1-regularized convex minimization
S Yun, KC Toh
Computational Optimization and Applications 48, 273-307, 2011
1342011
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