Approximating Clarke’s subgradients of semismooth functions by divided differences
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11075-007-9069-3.pdf
Reference18 articles.
1. Bagirov, A.M.: A method for minimizing convex functions based on continuous approximations to the subdifferential. Optim. Methods Softw. 9, 1–17 (1998)
2. Chaney, R.W.: Second-order necessary conditions in constrained semismooth optimization. SIAM J. Control Optim. 25, 1072–1081 (1987)
3. Chen, X., Nashed, Z., Qi, L.: Smoothing methods and semismooth methods for nondifferentiable operator equations. SIAM J. Numer. Anal. 38, 1200–1216 (2000)
4. Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley-Interscience, New York (1983)
5. Hintermüller, M., Hinze, M.: A SQP-semismooth Newton-type algorithm applied to control of the instationary Navier–Stokes system subject to control constraints. SIAM J. Optim. 16, 1177–1200 (2006)
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1. Discrete Gradient Methods;Numerical Nonsmooth Optimization;2020
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