Kim-Chuan Toh
Kim-Chuan Toh
Professor of Mathematics, National University of Singapore
Email verificata su
Citata da
Citata da
SDPT3—a MATLAB software package for semidefinite programming, version 1.3
KC Toh, MJ Todd, RH Ttnc
Optimization Methods and Software 11 (1-4), 545-581, 1999
Solving semidefinite-quadratic-linear programs using SDPT3
RH Ttnc, KC Toh, MJ Todd
Mathematical programming 95 (2), 189-217, 2003
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
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
On the Nesterov--Todd Direction in Semidefinite Programming
MJ Todd, KC Toh, RH Ttnc
SIAM Journal on Optimization 8 (3), 769-796, 1998
A Newton-CG augmented Lagrangian method for semidefinite programming
XY Zhao, D Sun, KC Toh
SIAM J. Optimization 20, 1737--1765, 2010
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
On the implementation and usage of SDPT3–a Matlab software package for semidefinite-quadratic-linear programming, version 4.0
KC Toh, MJ Todd, RH Ttnc
Handbook on Semidefinite, Conic and Polynomial Optimization, 715-754, 2012
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
Pseudozeros of polynomials and pseudospectra of companion matrices
KC Toh, LN Trefethen
Numerische Mathematik 68 (3), 403-425, 1994
An inexact interior point method for l 1-regularized sparse covariance selection
L Li, KC Toh
Mathematical Programming Computation 2 (3), 291-315, 2010
From potential theory to matrix iterations in six steps
TA Driscoll, KC Toh, LN Trefethen
SIAM review, 547-578, 1998
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
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
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 (1), 237-270, 2017
An implementable proximal point algorithmic framework for nuclear norm minimization
YJ Liu, D Sun, KC Toh
Mathematical Programming 133, 399--436, 2012
A coordinate gradient descent method for ℓ 1-regularized convex minimization
S Yun, KC Toh
Computational Optimization and Applications 48 (2), 273-307, 2011
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
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
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
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20