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Creators/Authors contains: "Josz, Cedric"

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  1. ; ; ; ; ; (, IEEE transactions on automatic control)
    Full Text Available 
  2. ; ; ; ; (, 60th IEEE Conference on Decision and Control (CDC))
    We propose an approach for verifying that a given feasible point for a polynomial optimization problem is globally optimal. The approach relies on the Lasserre hierarchy and the result of Lasserre regarding the importance of the convexity of the feasible set as opposed to that of the individual constraints. By focusing solely on certifying global optimality and relaxing the Lasserre hierarchy using necessary conditions for positive semidefiniteness based on matrix determinants, the proposed method is implementable as a computationally tractable linear program. We demonstrate this method via application to the optimal power flow problem used to operate electric power systems. 
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  3. ; ; ; ; ; (, European Journal of Operational Research)
    Full Text Available 
  4. ; ; ; ; (, IEEE Conference on Control Technology and Applications)
    null (Ed.)
    Full Text Available 
  5. ; ; ; ; (, IEEE Conference on Control Technology and Applications (CCTA))
    null (Ed.)
    Accepted Manuscript Full Text Available
  6. ; ; ; ; ; (, European journal of operational research)
    Accepted Manuscript Full Text Available
  7. ; ; (, Annual reviews in control)
    Accepted Manuscript Full Text Available
  8. ; ; ; (, Neural Information Processing Systems (NeurIPS))
    Accepted Manuscript Full Text Available
  9. ; ; ; ; (, Neural Information Processing Systems (NeurIPS))
    Accepted Manuscript Full Text Available