GRAD

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x
2011 9 6
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GRADIENT:
(∇y)(x1i, x2j)=[∂y/∂x1(x1i,x2j), ∂y/∂x2(x1i,x2j)]
HOW TO IMPLEMENT THIS EQUATION

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Fangjun Jiang
Fangjun Jiang 2011-9-6

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For numerical analysis,
>> help gradient
GRADIENT Approximate gradient.
[FX,FY] = GRADIENT(F) returns the numerical gradient of the
matrix F. FX corresponds to dF/dx, the differences in x (horizontal)
direction. FY corresponds to dF/dy, the differences in y (vertical)
direction. The spacing between points in each direction is assumed to
be one. When F is a vector, DF = GRADIENT(F)is the 1-D gradient.

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