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SDPT3 -- A Matlab Software Package for Semidefinite Programming
TLDR
This invention relates to stabilizing compositions; to the process for preparing a novel halogen-containing polymer; and to polymers stabilized against the deteriorative effect of heat which comprises a vinyl chloride or vinylidene chloride homopolymer or copolymer. Expand
Solving semidefinite-quadratic-linear programs using SDPT3
TLDR
This paper discusses computational experiments with linear optimization problems involving semidefinite, quadratic, and linear cone constraints (SQLPs). Expand
An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems
The a‐ne rank minimization problem, which consists of flnding a matrix of minimum rank subject to linear equality constraints, has been proposed in many areas of engineering and science. A speciflcExpand
Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements
TLDR
We describe a general semidefinite programming-based approach for solving the graph realization problem, of which the sensor network localization problems is a special case. Expand
An Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Least Squares Problems
The affine rank minimization problem, which consists of finding a matrix of minimum rank subject to linear equality constraints, has been proposed in many areas of engineering and science. A specificExpand
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
TLDR
We consider a Newton-CG augmented Lagrangian method for solving semidefinite programming (SDP) problems from the perspective of approximate semismooth Newton methods. Expand
SIAM Journal on Optimization
TLDR
The SIAM Journal on Optimization contains research articles on the theory and practice of optimization. Expand
On the Implementation and Usage of SDPT3 – A Matlab Software Package for Semidefinite-Quadratic-Linear Programming, Version 4.0
TLDR
This software is designed to solve primal and dual semidefinite-quadratic-linear conic programming problems (known as SQLP problems) whose constraint conic is a product of semideFinite conics, second-order cones, nonnegative orthants and Euclidean spaces, and whose objective function is the sum of linear functions and log-barrier terms associated with the constraint cones. Expand
On the Nesterov-Todd Direction in Semidefinite Programming
TLDR
We study different choices of search direction for primal-dual interior-point methods for semidefinite programming problems. Expand
SDPNAL$$+$$+: a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints
TLDR
We present a majorized semismooth Newton-CG augmented Lagrangian method, called SDPNAL$$+$$+, for semidefinite programming (SDP) with partial or full nonnegative constraints on the matrix variable. Expand
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