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Recent scalability improvements for semidefinite programming with applications in machine learning, control, and robotics
Historically, scalability has been a major challenge for the successful application of
semidefinite programming in fields such as machine learning, control, and robotics. In this …
semidefinite programming in fields such as machine learning, control, and robotics. In this …
[HTML][HTML] Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization
Chordal and factor-width decomposition methods for semidefinite programming and
polynomial optimization have recently enabled the analysis and control of large-scale linear …
polynomial optimization have recently enabled the analysis and control of large-scale linear …
Chordal graphs and semidefinite optimization
Chordal graphs play a central role in techniques for exploiting sparsity in large semidefinite
optimization problems and in related convex optimization problems involving sparse positive …
optimization problems and in related convex optimization problems involving sparse positive …
Fast ADMM for semidefinite programs with chordal sparsity
Many problems in control theory can be formulated as semidefinite programs (SDPs). For
large-scale SDPs, it is important to exploit the inherent sparsity to improve scalability. This …
large-scale SDPs, it is important to exploit the inherent sparsity to improve scalability. This …
Robust stability analysis of sparsely interconnected uncertain systems
In this paper, we consider robust stability analysis of large-scale sparsely interconnected
uncertain systems. By modeling the interconnections among the subsystems with integral …
uncertain systems. By modeling the interconnections among the subsystems with integral …