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 (Georgia Tech)
    • Joao Gouveia (Universidade de Coimbra)
    • Kai Kellner (Goethe University)
    • Pablo Parrilo (MIT)
    • Elina Robeva (UC Berkeley)
    • Rainer Sinn (Georgia Tech)
    • Anthony Man-Cho So (The Chinese University of Hong Kong)
    • Annie Raymond (University of Washington)
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