Semidefinite Optimization: Geometry, Algebra and Applications

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This session will aim to highlight recent developments in semidefinite optimization with a focus on topics such as positive semidefinite lifts of convex sets, positive semidefinite rank, structure and complexity of spectrahedra, algebraic structures and applications.

  • Speakers:
    • Greg Blekherman
    • Joao Gouveia
    • Kai Kellner
    • Pablo Parrilo
    • Elina Robeva
    • Rainer Sinn
    • Anthony Man-Cho So
    • Rekha Thomas
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