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...
Κύριοι συγγραφείς: | Zheng, Y, Sootla, A, Papachristodoulou, A |
---|---|
Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
IEEE
2022
|
Παρόμοια τεκμήρια
-
Decomposed structured subsets for semidefinite and sum-of-squares optimization
ανά: Miller, J, κ.ά.
Έκδοση: (2022) -
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization
ανά: Zheng, Y, κ.ά.
Έκδοση: (2021) -
Decomposition and completion of sum-of-squares matrices
ανά: Zheng, Y, κ.ά.
Έκδοση: (2018) -
Equivariant Semidefinite Lifts and Sum-of-Squares Hierarchies
ανά: Fawzi, Hamza, κ.ά.
Έκδοση: (2016) -
Sparse sums of squares on finite abelian groups and improved semidefinite lifts
ανά: Fawzi, Hamza, κ.ά.
Έκδοση: (2016)