Nonsmooth Steepest Descent Method by Proximal Subdifferentials in Hilbert Spaces
نویسندگان
چکیده
In this paper, we first study a nonsmooth steepest descent method for nonsmooth functions defined on a Hilbert space and establish the corresponding algorithm by proximal subgradients. Then, we use this algorithm to find stationary points for those functions satisfying prox-regularity and Lipschitz continuity. As an application, the established algorithm is used to search for the minimizer of a lower semicontinuous and convex function on a finite-dimensional space. A convergence theorem, as an extension and improvement of the existing converging result for twice continuously differentiable convex functions, is also presented therein.
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ورودعنوان ژورنال:
- J. Optimization Theory and Applications
دوره 161 شماره
صفحات -
تاریخ انتشار 2014