Assume you want to know what is the formula of the gradient of the function in multivariable calculus.
Let F be a scalar field function in n-dimension. Then, the gradient of a function is:
∇F = <fx1 , fx2, ... , fxn>
In the 3-dimensional Cartesian space:
∇F = <fx, fy, fz>
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Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
the deivative of a function is the gradient, at a point if you can sub in the x coordinate for that point
k is the constant of variation and is the gradient (slope) of the relevant graph.
The answer will depend on the context. If the curve in question is a differentiable function then the gradient of the tangent is given by the derivative of the function. The gradient of the tangent at a given point can be evaluated by substituting the coordinate of the point and the equation of the tangent, though that point, is then given by the point-slope equation.