Chapter 11: Problem 87
Define the first partial derivatives of a function \(f\) of two variables \(x\) and \(v\)
Chapter 11: Problem 87
Define the first partial derivatives of a function \(f\) of two variables \(x\) and \(v\)
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Get started for freeThe surface of a mountain is modeled by the equation \(h(x, y)=5000-0.001 x^{2}-0.004 y^{2}\). A mountain climber is at the point (500,300,4390) . In what direction should the climber move in order to ascend at the greatest rate?
Find the gradient of the function and the maximum value of the directional derivative at the given point. $$ \frac{\text { Function }}{f(x, y, z)=\sqrt{x^{2}+y^{2}+z^{2}}} \frac{\text { Point }}{(1,4,2)} $$
In Exercises \(35-38,\) find \(\partial w / \partial s\) and \(\partial w / \partial t\) using the appropriate Chain Rule, and evaluate each partial derivative at the given values of \(s\) and \(t\) $$ \begin{array}{l} \text { Function } \\ \hline w=x^{2}+y^{2} \\ x=s+t, \quad y=s-t \end{array} $$ $$ \frac{\text { Point }}{s=2, \quad t=-1} $$
Use the gradient to find a unit normal vector to the graph of the equation at the given point. Sketch your results $$ 9 x^{2}+4 y^{2}=40,(2,-1) $$
Find the gradient of the function and the maximum value of the directional derivative at the given point. $$ \frac{\text { Function }}{f(x, y, z)=x e^{y z}} \frac{\text { Point }}{(2,0,-4)} $$
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