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1
Fast ADMM for semidefinite programs with chordal sparsity
Published 2017“…For large-scale SDPs, it is important to exploit the inherent sparsity to improve scalability. This paper develops efficient first-order methods to solve SDPs with chordal sparsity based on the alternating direction method of multipliers (ADMM). …”
Conference item -
2
A Novel Approach for Solving Convex Problems with Cardinality Constraints
Published 2017“…In this paper we consider the problem of minimizing a convex differentiable function subject to sparsity constraints. Such constraints are non-convex and the resulting optimization problem is known to be hard to solve. …”
Conference item -
3
Fast ADMM for homogeneous self-dual embeddings of sparse SDPs
Published 2016“…In contrast to previous first-order methods that exploit chordal sparsity, our algorithm returns both primal and dual solutions when available, and it provides a certificate of infeasibility otherwise. …”
Journal article -
4
COSMO: A conic operator splitting method for large convex problems
Published 2019“…The solver is able to exploit chordal sparsity in the problem data and to detect infeasible problems. …”
Conference item -
5
COSMO: A conic operator splitting method for convex conic problems
Published 2019“…The solver is able to exploit chordal sparsity in the problem data and to detect infeasible problems. …”
Journal article -
6
COSMO: A conic operator splitting method for convex conic problems
Published 2021“…Moreover, the solver uses chordal decomposition techniques and a new clique merging algorithm to effectively exploit sparsity in large, structured semidefinite programs. …”
Journal article