Gradient
In vector calculus, the gradient of a multivariate function measures how steep a curve is. On a graph of the function, it is the slope of the tangent of that curve. More generally, it is a vector that points in the direction in which the function grows the fastest. Its coordinates are partial derivatives of that function. The gradient of a function f is often written as [math]\displaystyle{ \nabla f }[/math] or [math]\displaystyle{ \operatorname{grad} f }[/math].[1][2][3]
Gradient Media
The gradient of the function f(x,y) = −(cos2x + cos2y)2 depicted as a projected vector field on the bottom plane.
Related pages
References
- ↑ "List of Calculus and Analysis Symbols". Math Vault. 2020-05-11. Retrieved 2020-09-16.
- ↑ "The gradient vector | Multivariable calculus (article)". Khan Academy. Retrieved 2020-09-16.
- ↑ Weisstein, Eric W. "Gradient". mathworld.wolfram.com. Retrieved 2020-09-16.