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A note on the smoothness of multi-parametric singular value decomposition with applications in optimization

G. Haeser(ghaeser***at***ime.usp.br)
A. Ramos(albertoramos***at***ufpr.br)

Abstract: In this paper, we give sufficient conditions for the existence of a smooth singular value decomposition of a multi-parametric matrix function. This smoothness assumption has been considered in the recent paper [R. Behling, G. Haeser, A. Ramos, D. S. Viana, ``On a conjecture in nonlinear optimization'', Optimization Online, 2016], where a second-order optimality condition has been proved under a weak, non-constant, rank assumption. Our results, in particular, shows that the result presented in the aforementioned paper generalizes previous known results under stronger assumptions.

Keywords: singular value decomposition, multi-parametric, smoothness

Category 1: Nonlinear Optimization

Citation:

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Entry Submitted: 06/23/2017
Entry Accepted: 06/23/2017
Entry Last Modified: 06/23/2017

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