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We describe a version of a randomization technique within a general framework of Euclidean Jordan algebras. It is shown how to use this technique to evaluate the quality of symmetric relaxations for several non-convex optimization problems.
This work was supported in part by NSF grants DMS04-0270 and DMS07-12809.
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