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math.OC2019
On the Equivalence of SDP Feasibility and a Convex Hull Relaxation for System of Quadratic Equations
Bahman Kalantari
We show {\it semidefinite programming} (SDP) feasibility problem is equivalent to solving a {\it convex hull relaxation} (CHR) for a finite system of quadratic equations. On the on…
math.OC2019
A Spectral Generalization of Von Neumann Minimax Theorem
Bahman Kalantari
Given real symmetric matrices , the following {\it spectral minimax} property holds: $$\min_{X \in \mathbfΔ_n} \max_{y \in S_m} \sum_{i=1}^m y_iA_i \b…
math.OC2019★ 2 cited
A Triangle Algorithm for Semidefinite Version of Convex Hull Membership Problem
Bahman Kalantari
Given a subset of , the set of real symmetric matrices, we define its {\it spectrahull} as the set $SH(\mathbf{S}) = \{p…