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 ${\displaystyle \nabla f}$ or ${\displaystyle \operatorname {grad} f}$.^[1][2][3]

• Laplace operator

1. ↑ "List of Calculus and Analysis Symbols". Math Vault. 2020-05-11. Retrieved 2020-09-16.
2. ↑ "The gradient vector | Multivariable calculus (article)". Khan Academy. Retrieved 2020-09-16.
3. ↑ Weisstein, Eric W. "Gradient". mathworld.wolfram.com. Retrieved 2020-09-16.

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