Second-order cone programming: Difference between revisions

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Second-order cones: less fancy markup
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i.e., a second-order cone constraint is equivalent to a [[linear matrix inequality]] Here <math>M\succcurlyeq 0 </math> means <math>M </math> is a semidefinite matrix: that is to say
 
:<math>x^\mathsf{T} M x \geq 0 \text{ for all } x \in \mathbb{R}^n</math>.
 
Similarly, we also have,