Block factor-width-two matrices and their applications to semidefinite and sum-of-squares optimization
Semidefinite and sum-of-squares (SOS) optimization are fundamental computational tools in many areas, including linear and nonlinear systems theory. However, the scale of problems that can be addressed reliably and efficiently is still limited. In this paper, we introduce a new notion of block facto...
Main Authors: | Zheng, Y, Sootla, A, Papachristodoulou, A |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado: |
IEEE
2022
|
Títulos similares
-
Decomposed structured subsets for semidefinite and sum-of-squares optimization
por: Miller, J, et al.
Publicado: (2022) -
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization
por: Zheng, Y, et al.
Publicado: (2021) -
Decomposition and completion of sum-of-squares matrices
por: Zheng, Y, et al.
Publicado: (2018) -
Equivariant Semidefinite Lifts and Sum-of-Squares Hierarchies
por: Fawzi, Hamza, et al.
Publicado: (2016) -
Sparse sums of squares on finite abelian groups and improved semidefinite lifts
por: Fawzi, Hamza, et al.
Publicado: (2016)