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ml-recall

#adjoint-method

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Question 1: Short answer

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A(p)A(p) is an invertible n×nn \times n matrix built from n−1n - 1 parameters pp, and f(p)=(c⊤A(p)−1b)2f(p) = \left(c^\top A(p)^{-1} b\right)^2 for fixed vectors b,cb, c. Using the adjoint (reverse-mode) method, how many linear solves with AA (or A⊤A^\top) are needed to get ff and the whole gradient ∇pf\nabla_p f, whatever nn is?

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