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In convex optimization, a linear matrix inequality (LMI) is an expression of the form
: where
* is a real vector,
* are symmetric matrices ,
* is a generalized inequality meaning is a positive semidefinite matrix belonging to the positive semidefinite cone in the subspace of symmetric matrices .

This linear matrix inequality specifies a convex

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