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Leveraging Christoffel-Darboux Kernels to Strengthen Moment-SOS Relaxations
The classical Moment-SOS hierarchy allows one to approximate the global minimum of a polynomial optimization problem through semidefinite relaxations of increasing accuracy. For many optimization problems, however, moving to higher relaxation orders quickly becomes computationally prohibitive. While
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