矩阵与向量的求导常用公式

设矩阵A,向量 x \vec{x} 则有

A x x = A T A x x T = A ( x T A ) x = A ( x T A x ) x = ( A T + A ) x \frac{\partial A\vec{x}}{\partial \vec{x}} = A ^ {T} \\ \frac{\partial A\vec{x}}{\partial \vec{x} ^ {T}} = A \\ \frac{\partial (\vec{x} ^ {T}A)}{\partial \vec{x}} = A \\ \frac{\partial (\vec{x} ^ {T}A\vec{x})}{\partial \vec{x}} = (A ^ {T} + A)\vec{x} \\
特别的,如果 A = A T A = A ^ {T} (A为对称矩阵),则:
( x T A x ) x = 2 A x \frac{\partial (\vec{x} ^ {T}A\vec{x})}{\partial \vec{x}} = 2A\vec{x}

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转载自blog.csdn.net/qq_41228218/article/details/105108918