Definite quadratic form: Difference between revisions

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Matrix form: nonitalic 'T' for transpose
Optimization: nonitalic 'T' for transpose
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Definite quadratic forms lend themselves readily to [[optimization]] problems. Suppose the matrix quadratic form is augmented with linear terms, as
 
:<math>x^TAx\text{T} A x +2b 2 b^Tx\text{T} x ,</math>
 
where ''b'' is an ''n''×1 vector of constants. The [[first-order condition]]s for a maximum or minimum are found by setting the [[matrix derivative]] to the zero vector: