I know that you determine maximum value of a directional derivative at a point by finding...(adsbygoogle = window.adsbygoogle || []).push({});

[tex]

|\nabla f(a_0 ,b_0 )|

[/tex]

But how do you find the minimum value?

I'm also kinda wondering exactly what a gradient is. It seems like if you have the gradient equation and a point... all you are getting is a single vector and a single rate of change... doesn't seem all that useful.

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# Homework Help: Minimizing a directional derivative

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