A probabilistic approach to the generalized Hessian

A probabilistic approach to the generalized Hessian

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Article ID: iaor19921837
Country: United States
Volume: 17
Issue: 2
Start Page Number: 411
End Page Number: 443
Publication Date: May 1992
Journal: Mathematics of Operations Research
Authors:
Keywords: programming: nonlinear
Abstract:

The quadratic variation of Brownian motion is used to give a new definition of a generalized Hessian for nonsmooth functions, totally independently of any gradients. A calculus is developed for the generalized Hessian of functions whose gradient is Lipschitz. It is also shown that for convex functions the Hessian is nonempty.

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