BorderedHessian 
A bordered Hessian matrix consists of the Hessian of a multivariate function f,
and the gradient of a multivariate function g.

Gradient 
The gradient of a scalar field is a vector field which points in the direction of the greatest
rate of increase of the scalar field, and of which the magnitude is the greatest rate of change.

GradientFunction 
The gradient function, g(x), evaluates the gradient of a real scalar function f at a point x.

Hessian 
The Hessian matrix is the square matrix of the secondorder partial derivatives of a multivariate function.

HessianFunction 
The Hessian function, H(x), evaluates the Hessian of a real scalar function f at a point x.

Jacobian 
The Jacobian matrix is the matrix of all firstorder partial derivatives of a vectorvalued function.

JacobianFunction 
The Jacobian function, J(x), evaluates the Jacobian of a real vectorvalued function f at a point x.

MultivariateFiniteDifference 
A partial derivative of a multivariate function is the derivative with respect to one of the variables with the others held constant.
