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Using Symmetry in Semidefinite Programming
Simons Institute for the Theory of Computing
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What Does It Mean For a Matrix to be POSITIVE? The Practical Guide to Semidefinite Programming(1/4)
Visually Explained
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45:16
A fixed point algorithm for matrix projections with applications in quantum information
HonHai (Foxconn) QC meeting
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39:59
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Irène Waldspurger - Sketching semidefinite programs for super-resolution problems
Institut des Hautes Etudes Scientifiques (IHES)
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CP2020 The Theory and Practice of Symmetry in Constraints: How to find it, and break it
Int'l Conference on Principles and Practice of CP
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Lower bounds on the size of semidefinite programming relaxations (1)
Centre for Quantum Technologies
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1:13:40
Lower bounds on the size of semidefinite programming relaxations (2)
Centre for Quantum Technologies
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46:22
Hamza Fawzi's talk: Matrix convexity and semidefinite programming
Birmingham Mathematics
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53:04
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Lower bounds on the size of semidefinite programming relaxations (3)
Centre for Quantum Technologies
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24:26
Symmetry reduction for Sum-of-Squares programming | Benoît Legat, Marek Kaluba | JuliaCon2021
The Julia Programming Language
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44:08
Combinatorial Characterizations in Semidefinite Programming Duality: ...
Simons Institute for the Theory of Computing
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