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Semidefinite programming and experiment design

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Semidefinite programming and experiment design
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21
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CC Attribution - NonCommercial - NoDerivatives 4.0 International:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Semidefinite programming (SDP) has important applications in optimization problems that involve moment cones or, by duality, cones of nonnegative polynomials. Examples can be found in statistics, signal processing, control, and non-convex polynomial optimization. The talk will give an introduction to the connections between moment theory and SDP, and discuss SDP algorithms in this context. The focus will be on applications in experiment design.