A gradient vector is a vector that represents the rate and direction of change of a scalar field. It points in the direction of the steepest ascent of the function and its magnitude indicates how steep that ascent is. The gradient vector is essential for understanding how functions behave in multiple dimensions, especially in relation to finding maxima and minima.
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