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...
Asıl Yazarlar: | Zheng, Y, Sootla, A, Papachristodoulou, A |
---|---|
Materyal Türü: | Journal article |
Dil: | English |
Baskı/Yayın Bilgisi: |
IEEE
2022
|
Benzer Materyaller
-
Decomposed structured subsets for semidefinite and sum-of-squares optimization
Yazar:: Miller, J, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization
Yazar:: Zheng, Y, ve diğerleri
Baskı/Yayın Bilgisi: (2021) -
Decomposition and completion of sum-of-squares matrices
Yazar:: Zheng, Y, ve diğerleri
Baskı/Yayın Bilgisi: (2018) -
Equivariant Semidefinite Lifts and Sum-of-Squares Hierarchies
Yazar:: Fawzi, Hamza, ve diğerleri
Baskı/Yayın Bilgisi: (2016) -
Sparse sums of squares on finite abelian groups and improved semidefinite lifts
Yazar:: Fawzi, Hamza, ve diğerleri
Baskı/Yayın Bilgisi: (2016)