The Hessian matrix is a square matrix of second-order partial derivatives of a scalar-valued function. It provides important information about the local curvature of the function and is widely used in optimization problems, economics, and many areas of mathematics and engineering.
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The Hessian is the symmetric matrix of second partial derivatives; definiteness classifies nondegenerate critical points.