The R-linear convergence rate of an algorithm arising from the semi-smooth Newton method applied to 2D contact problems with friction

Radek Kučera (), Kristina Motyčková () and Alexandros Markopoulos ()

Computational Optimization and Applications, 2015, vol. 61, issue 2, 437-461

Abstract: The goal is to analyze the semi-smooth Newton method applied to the solution of contact problems with friction in two space dimensions. The primal-dual algorithm for problems with the Tresca friction law is reformulated by eliminating primal variables. The resulting dual algorithm uses the conjugate gradient method for inexact solving of inner linear systems. The globally convergent algorithm based on computing a monotonously decreasing sequence is proposed and its R-linear convergence rate is proved. Numerical experiments illustrate the performance of different implementations including the Coulomb friction law. Copyright Springer Science+Business Media New York 2015

Keywords: Contact problem; Friction; Semi-smooth Newton method; Conjugate gradient method; Gradient projection; Convergence rate; 65K10; 65N22; 49M29; 74M15 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10589-014-9716-2

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