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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Using limits and the basic gradient formula: rise/run.
A stream gradient is the grade measure by the ratio of drop in elevation of a stream. It is expressed as feet per mile.
It's 2. your equation is y=mx+b, so the gradient, or slope, is the "m" in the equation.
The gradient of a quantity is the greatest rate at which it changes as you move in different directions from where you are now. If the quantity has a negative gradient, that means that the quantity decreases in that direction. A great example of a negative gradient is the elevation of the land at a point on a road that has a hill on one side and a cliff on the other side. The greatest rate at which the elevation changes is in the direction off the edge of the cliff, and it's negative in that direction.
It is sometimes called the gradient.