On polyhedral and second-order cone decompositions of semidefinite optimization problems.

Dimitris Bertsimas Ryan Cory-Wright

Published in: Oper. Res. Lett. (2020)

Keyphrases

semidefinite
optimization problems
convex sets
lipschitz continuity
semidefinite programming
evolutionary algorithm

metaheuristic
higher dimensional
objective function
convex relaxation
cost function
sufficient conditions

interior point methods
optimization methods
finite number
variational inequalities
convex optimization
convex hull

globally optimal
singular value decomposition
feature extraction
multi view
training data