2021
DOI: 10.48550/arxiv.2112.08080
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On the application of the SCD semismooth* Newton method to variational inequalities of the second kind

Abstract: The paper starts with a description of the SCD (subspace containing derivative) mappings and the SCD semismooth * Newton method for the solution of general inclusions. This method is then applied to a class of variational inequalities of the second kind. As a result, one obtains an implementable algorithm exhibiting a locally superlinear convergence. Thereafter we suggest several globally convergent hybrid algorithms in which one combines the SCD semismooth * Newton method with selected splitting algorithms fo… Show more

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Cited by 1 publication
(3 citation statements)
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References 13 publications
(41 reference statements)
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“…To improve the global convergence properties, we use a non-monotone line search heuristic as introduced in [14]. Recall that the quantity ŷ(k) given by (5.18) acts as a residual for GE (5.16) at the point (x (k) , d(k) ).…”
Section: Numerical Experimentsmentioning
confidence: 99%
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“…To improve the global convergence properties, we use a non-monotone line search heuristic as introduced in [14]. Recall that the quantity ŷ(k) given by (5.18) acts as a residual for GE (5.16) at the point (x (k) , d(k) ).…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…Moreover, the "regularity" requirement, needed to ensure the (locally) superlinear convergence, could have been substantially relaxed. In [14] this so-called SCD semismooth * Newton method has been implemented in a class of variational inequalities (VIs) of the second kind that includes, among various problems of practical importance, also a class of discretized contact problems with Tresca friction ( [15]). The very good performance of the new method, when applied to those problems, has led us to consider more complicated problems, in which Q does not amount to the subdifferential of a convex function.…”
Section: Introductionmentioning
confidence: 99%
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