Hessian
The matrix of second derivatives, describing curvature rather than slope. Its eigenvalues say whether a flat point is a minimum, a maximum or a saddle — and in high dimensions, saddles are what you actually hit.
- The Hessian matrix, symmetric for well-behaved functions.
- A second partial derivative.