Module forward_difference

Forward difference approximations.

Functions

• directional_derivative
  Directional derivative of a multivariate, scalar-valued function using the forward difference approximation.
• gradient
  Gradient of a multivariate, scalar-valued function using the forward difference approximation.
• jacobian
  Jacobian of a multivariate, vector-valued function using the forward difference approximation.
• sderivative
  Derivative of a univariate, scalar-valued function using the forward difference approximation.
• shessian
  Hessian of a multivariate, scalar-valued function using the forward difference approximation.
• spartial_derivative
  Partial derivative of a multivariate, scalar-valued function using the forward difference approximation.
• vderivative
  Derivative of a univariate, vector-valued function using the forward difference approximation.
• vhessian
  Hessian of a multivariate, vector-valued function using the forward difference approximation.
• vpartial_derivative
  Partial derivative of a multivariate, vector-valued function using the forward difference approximation.