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Class Summary |
| BorderedHessian |
A bordered Hessian matrix consists of the Hessian of a multivariate function f,
and the gradient of a multivariate function g. |
| FiniteDifference |
This class computes the numerical partial derivative of a function. |
| 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 |
Compute the gradient function, g(x), for a real scalar function f(x). |
| Hessian |
The Hessian matrix is the square matrix of the second-order partial derivatives of a multivariate function. |
| HessianFunction |
Compute the Hessian function, H(x), for a real scalar function f(x). |
| Jacobian |
The Jacobian matrix is the matrix of all first-order partial derivatives of a vector-valued function. |
| JacobianFunction |
Compute the Jacobian function, J(x), for a real vector-valued function f(x). |