Maximizing products of linear forms, and the permanent of positive semidefinite matrices
Abstract We study the convex relaxation of a polynomial optimization problem, maximizing a product of linear forms over the complex sphere. We show that this convex program is also a relaxation of the permanent of Hermitian positive semidefinite (HPSD) matrices. By analyzing a constru...
Main Authors: | Yuan, Chenyang, Parrilo, Pablo A. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems |
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg
2022
|
Online Access: | https://hdl.handle.net/1721.1/142071 |
Similar Items
-
Semidefinite Descriptions of the Convex Hull of Rotation Matrices
by: Saunderson, James, et al.
Published: (2016) -
Positive semidefinite rank
by: Gouveia, João, et al.
Published: (2017) -
Semidefinite Approximations of the Matrix Logarithm
by: Fawzi, Hamza, et al.
Published: (2019) -
On the local stability of semidefinite relaxations
by: Cifuentes, Diego, et al.
Published: (2022) -
Equivariant Semidefinite Lifts of Regular Polygons
by: Fawzi, Hamza, et al.
Published: (2021)