A feasible method for general convex low-rank SDP problems

Cites Work

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A feasible method for optimization with orthogonality constraints
Solving semidefinite-quadratic-linear programs using SDPT3
SDPNAL+: a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints
Semidefinite programming versus the reformulation-linearization technique for nonconvex quadratically constrained quadratic programming
Subspaces of symmetric matrices containing matrices with a multiple first eigenvalue
Problems of distance geometry and convex properties of quadratic maps
Complementarity and nondegeneracy in semidefinite programming
A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization
QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming
A branch-and-cut algorithm for nonconvex quadratic programs with box constraints
On the Burer-Monteiro method for general semidefinite programs
A Riemannian rank-adaptive method for low-rank matrix completion
Convergence rate of block-coordinate maximization Burer-Monteiro method for solving large SDPs
A relaxed interior point method for low-rank semidefinite programming problems with applications to matrix completion
Optimality conditions for nonlinear semidefinite programming via squared slack variables
Local minima and convergence in low-rank semidefinite programming
On the Rank of Extreme Matrices in Semidefinite Programs and the Multiplicity of Optimal Eigenvalues
Projection-like Retractions on Matrix Manifolds
Manopt, a Matlab toolbox for optimization on manifolds
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
Low-Rank Optimization on the Cone of Positive Semidefinite Matrices
Constraint Nondegeneracy, Strong Regularity, and Nonsingularity in Semidefinite Programming
On the Shannon capacity of a graph
SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
The Riemannian Barzilai–Borwein method with nonmonotone line search and the matrix geometric mean computation
SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0)
Riemannian Optimization on the Symplectic Stiefel Manifold
Scalable Semidefinite Programming
An Introduction to Optimization on Smooth Manifolds
Global rates of convergence for nonconvex optimization on manifolds
Deterministic Guarantees for Burer‐Monteiro Factorizations of Smooth Semidefinite Programs
Regularization Methods for Semidefinite Programming
Computational enhancements in low-rank semidefinite programming
How Stringent is the Linear Independence Assumption for Mathematical Programs with Complementarity Constraints?
A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming
Solving graph equipartition SDPs on an algebraic variety
A Feasible Method for Solving an SDP Relaxation of the Quadratic Knapsack Problem
Dissolving Constraints for Riemannian Optimization

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