Gradient in vector calculus is a vector field representing the maximum rate of increase of a scalar field or a multivariate function and the direction of this maximal rate.

Gradient may also refer to:

## Mathematics

• Gradient descent, a first-order iterative optimization algorithm for finding the minimum of a function
• Gradient theorem, theorem that a line integral through a gradient field can be evaluated by evaluating the original scalar field at the endpoints of the curve
• Gradient method, an algorithm to solve problems with search directions defined by the gradient of the function at the current point
• Conjugate gradient method, an algorithm for the numerical solution of particular systems of linear equations
• Nonlinear conjugate gradient method, generalizes the conjugate gradient method to nonlinear optimization
• Stochastic gradient descent, iterative method for optimizing a differentiable objective function
• Slope, a number that describes both the direction and the steepness of a line