Second-Order Minimization Method for Nonsmooth Functions Allowing Convex Quadratic Approximations of the Augment
Second-order methods play an important role in the theory of optimization. Due to the usage of more information about considered function, they give an opportunity to find the stationary point faster than first-order methods. Well-known and sufficiently studied Newton’s method is widely used to opti...
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Veröffentlicht in: | Journal of optimization theory and applications 2016-11, Vol.171 (2), p.666-674 |
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Format: | Artikel |
Sprache: | eng |
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