Data Science Numerical Analysis
The Hessian matrix is a square matrix of second-order partial derivatives of a scalar-valued function, which provides information about the curvature of the function's graph. It plays a crucial role in optimization problems, particularly when evaluating the nature of stationary points and determining whether they are local minima, local maxima, or saddle points.
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