Path-following splitting and semismooth Newton methods for solv- ing a class of problems related to elasto-plastic material deformations are pro- posed, analyzed and tested numerically. While the splitting techniques result in alternating minimization schemes, which are typically linearly convergent, the proposed Moreau-Yosida regularization based semismooth Newton tech- nique and an associated lifting step yield local superlinear convergence in func- tion space. The lifting step accounts for the fact that the operator associated with the linear system in the Newton iteration need not be boundedly invert- ible (uniformly along the iterates). For devising an efficient update strategy for the path-following parameter regularity prope...
We consider the fast solution of a class of large, piecewise smooth minimization problems. For lack ...
AbstractA certain regularization technique for contact problems leads to a family of problems that c...
© 2017, Springer Science+Business Media New York. The forward–backward splitting method (FBS) for mi...
The final publication (doi: 10.1016/j.camwa.2014.12.001) is available at Elsevier:http://www.science...
In dieser Dissertationsarbeit wurde ein neuer Algorithmus zur numerischen Lösung des Minimierungspro...
This is the preprint version of the final publication with doi10.1016/j.cam.2015.06.010,which can be...
We develop a general convergence analysis for a class of inexact Newton-type regularizations for sta...
We propose a new approach to the numerical solution of quasi-static elastic-plastic problems based o...
Abstract. We discuss a solution algorithm for quasi-static elastoplastic problems with hard-ening. S...
An efficient, function-space-based second-order method for the H1-projection onto the Gibbs-simplex ...
A class of semismooth Newton methods for quadratic minimization problems subject to non-negativity c...
A class of semismooth Newton methods for unilaterally constrained variational problems modelling cra...
Abstract. Semi–smooth Newton methods are analyzed for a class of variational inequalities in infinit...
An efficient, function-space-based second-order method for the $H^1$-projection onto the Gibbs-simpl...
In this contribution, we will apply the semismooth Newton methods with and without damping to solvin...
We consider the fast solution of a class of large, piecewise smooth minimization problems. For lack ...
AbstractA certain regularization technique for contact problems leads to a family of problems that c...
© 2017, Springer Science+Business Media New York. The forward–backward splitting method (FBS) for mi...
The final publication (doi: 10.1016/j.camwa.2014.12.001) is available at Elsevier:http://www.science...
In dieser Dissertationsarbeit wurde ein neuer Algorithmus zur numerischen Lösung des Minimierungspro...
This is the preprint version of the final publication with doi10.1016/j.cam.2015.06.010,which can be...
We develop a general convergence analysis for a class of inexact Newton-type regularizations for sta...
We propose a new approach to the numerical solution of quasi-static elastic-plastic problems based o...
Abstract. We discuss a solution algorithm for quasi-static elastoplastic problems with hard-ening. S...
An efficient, function-space-based second-order method for the H1-projection onto the Gibbs-simplex ...
A class of semismooth Newton methods for quadratic minimization problems subject to non-negativity c...
A class of semismooth Newton methods for unilaterally constrained variational problems modelling cra...
Abstract. Semi–smooth Newton methods are analyzed for a class of variational inequalities in infinit...
An efficient, function-space-based second-order method for the $H^1$-projection onto the Gibbs-simpl...
In this contribution, we will apply the semismooth Newton methods with and without damping to solvin...
We consider the fast solution of a class of large, piecewise smooth minimization problems. For lack ...
AbstractA certain regularization technique for contact problems leads to a family of problems that c...
© 2017, Springer Science+Business Media New York. The forward–backward splitting method (FBS) for mi...