2 citations · 2 across the 1 of their papers we have counts for
2 papers
math.OC2020
Hyperbolic Relaxation of -Locally Positive Semidefinite Matrices
Grigoriy Blekherman, Santanu S. Dey, Kevin Shu +1
A successful computational approach for solving large-scale positive semidefinite (PSD) programs is to enforce PSD-ness on only a collection of submatrices. For our study, we let $…
math.OC2020★ 2 cited
Sparse PSD approximation of the PSD cone
Grigoriy Blekherman, Santanu S. Dey, Marco Molinaro +1
While semidefinite programming (SDP) problems are polynomially solvable in theory, it is often difficult to solve large SDP instances in practice. One technique to address this iss…