Given certain function f(x), a standard way to minimize it is to set its derivative to zero, and solve for x. However, in certain cases the method of gradient descent is used; compared to the previous method (call it 'method I')that simply sets the derivative to zero and solves for x, the gradient descent takes multiple steps.(adsbygoogle = window.adsbygoogle || []).push({});

Why could not one use only the 'method I' for minimization? Could you give an example illustrating the difficulty of applying 'mehtod I'?

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# Use of a derivative or a gradient to minimize a function

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