Thread: Problem 3.7d
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Old 10-13-2012, 02:52 PM
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htlin htlin is offline
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Default Re: Problem 3.7d

Quote:
Originally Posted by erezarnon View Post
The problem asks us to prove that the optimal column vector is in the opposite direction of the inverse of the Hessian times the gradient.

But didn't the chapter prove that the optimal column vector is in the opposite direction of the gradient?
The chapter shows that the optimal column vector, subject to the first-order Taylor's approximation, is the negative gradient. Problem 3.7(d) asks you to consider second-order Taylor's approximation instead, though.

Hope this helps.
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