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This means something like "um, hard to go." Depending on context, this may be referring to someone wanting to go to an event but having difficulty doing so, or perhaps someone needing to leave but not wanting to. The correct way to write it would be "Mmmmm, difícil de ir." (The "mmmmm" is just a sound, not an actual word, so the "right way" to write it is debatable.)

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How a forward premium or discount is computed?

forward exchange rate can be computed from spot exchange by adding or subtracting premium ir discount. also forward rate can be at forward premiun of discount when comapred to spot exchange rate.


Is y equals 22x-65 a linear equation?

87


What is the equation for the gradient of a function?

The equation for the gradient of a linear function mapped in a two dimensional, Cartesian coordinate space is as follows.The easiest way is to either derive the function you use the gradient formula(y2 - y1) / (x2 - x1)were one co-ordinate is (x1, y1) and a second co-ordinate is (x2, y2)This, however, is almost always referred to as the slope of the function and is a very specific example of a gradient. When one talks about the gradient of a scalar function, they are almost always referring to the vector field that results from taking the spacial partial derivatives of a scalar function, as shown below.___________________________________________________________The equation for the gradient of a function, symbolized ∇f, depends on the coordinate system being used.For the Cartesian coordinate system:∇f(x,y,z) = ∂f/∂x i + ∂f/∂y j + ∂f/∂z k where ∂f/(∂x, ∂y, ∂z) is the partial derivative of f with respect to (x, y, z) and i, j, and k are the unit vectors in the x, y, and z directions, respectively.For the cylindrical coordinate system:∇f(ρ,θ,z) = ∂f/∂ρ iρ + (1/ρ)∂f/∂θ jθ + ∂f/∂z kz where ∂f/(∂ρ, ∂θ, ∂z) is the partial derivative of f with respect to (ρ, θ, z) and iρ, jθ, and kz are the unit vectors in the ρ, θ, and z directions, respectively.For the spherical coordinate system:∇f(r,θ,φ) = ∂f/∂r ir + (1/r)∂f/∂θ jθ + [1/(r sin(θ))]∂f/∂φ kφ where ∂f/(∂r, ∂θ, ∂φ) is the partial derivative of f with respect to (r, θ, φ) and ir, jθ, and kφare the unit vectors in the r, θ, and φ directions, respectively.Of course, the equation for ∇f can be generalized to any coordinate system in any n-dimensional space, but that is beyond the scope of this answer.