Since the function is of 2
variables, the gradient of the function is the vector
function:
Grad f(x,y) = [df(x,y)/dx]*i +
[df(x,y)/dy]*j
[df(x,y)/dx] and [df(x,y)/dy] are the
partial derivatives of the function.
To determine
df(x,y)/dx, we'll differentiate the function with respect to x, assuming that y is a
constant.
df(x,y)/dx =3x^2*y^2 -
2
To determine df(x,y)/dy, we'll differentiate the function
with respect to y, assuming that x is a
constant.
df(x,y)/dy =
2y*x^3
Grad f(x,y) = (3x^2*y^2 - 2)*i +
(2y*x^3)*j
Grad f(2,4) =(3*2^2*4^2 - 2)*i +
(2*4*2^3)*j
Grad f(2,4) = 190*i +
64*j
The gradient vector of the given
function, at the point (2,4), is:Grad f(2,4) = 190*i +
64*j.
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