Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10898-005-5880-3
Title: On the semismoothness of projection mappings and maximum eigenvalue functions
Authors: Goh, M. 
Meng, F.
Keywords: Maximum eigenvalue functions
Moreau-Yosida regularization
Projection mappings
Semidefinite cones
Semismooth functions
Issue Date: 2006
Source: Goh, M., Meng, F. (2006). On the semismoothness of projection mappings and maximum eigenvalue functions. Journal of Global Optimization 35 (4) : 653-673. ScholarBank@NUS Repository. https://doi.org/10.1007/s10898-005-5880-3
Abstract: This paper analyses the properties of the projection mapping over a set defined by a constraint function whose image is possibly a nonpolyhedral convex set. Under some nondegeneracy assumptions, we prove the (strong) semismoothness of the projection mapping. In particular, we derive the strong semismoothness of the projection mapping when the nonpolyhedral convex set under consideration is taken to be the second-order cone or the semidefinite cone. We also derive the semismoothness of the solution to the Moreau-Yosida regularization of the maximum eigenvalue function. © Springer 2006.
Source Title: Journal of Global Optimization
URI: http://scholarbank.nus.edu.sg/handle/10635/43998
ISSN: 09255001
DOI: 10.1007/s10898-005-5880-3
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