Yes, the dot-product formula w·∇f generalizes naturally to higher dimensions. If the input has five variables, both the direction vector and the gradient vector simply expand to have five components, maintaining the same structural relationship.
Conditions: The function is differentiable in higher dimensions.; The direction vector and gradient are defined in the same dimensional space.
Yes, the dot-product formula w·∇f generalizes naturally to higher dimensions. If the input has five variables, both the direction vector and the gradient vector simply expand to have five components, maintaining the same structural relationship.
Conditions: The function is differentiable in higher dimensions.; The direction vector and gradient are defined in the same dimensional space.