What is the relationship between Hessian matrix and curvature in optimization?

Hessian matrix measures second-order curvature of loss surface.

The Hessian contains second partial derivatives, capturing how gradients change. Its eigenvalues determine whether a point is a minimum, maximum, or saddle point. Positive eigenvalues indicate convex curvature directions.