Abstract A wide range of free boundary problems occurring in engineering and industry can be rewritten as a minimization problem for a strictly convex, piecewise smooth but non–differentiable energy functional. The fast solution of related discretized problems is a very delicate question, because usual Newton techniques cannot be applied. We propose a new approach based on convex minimization and constrained Newton type linearization. While convex min-imization provides global convergence of the overall iteration, the subsequent constrained Newton type linearization is intended to accelerate the conver-gence speed. We present a general convergence theory and discuss several applications. 1
A class of nonlinear elliptic quasi-variational inequality (QVI) problems with gradientconstraints i...
In this paper, we establish global convergence results for projection and relaxation algorithms for ...
We consider variational inequality problems where the convex set under consideration is a bounded po...
A wide range of free boundary problems occurring in engineering and industry can be rewritten as a m...
We consider the fast solution of a class of large, piecewise smooth minimization problems. For lack ...
We consider here a generalization of exact penalty functions approach to solution of variational ine...
Abstract Newton’s method for solving variational inequalities is known to be locally quadratically c...
Real-life problems are governed by equations which are nonlinear in nature. Nonlinear equations occu...
Abstract. For the efficient numerical solution of elliptic variational inequalities on closed convex...
In this paper we derive efficiency estimates of the regularized Newton's method as applied to constr...
© 2015, Allerton Press, Inc. We construct and investigate a new iterative solution method for a fini...
© 2015, Allerton Press, Inc. We construct and investigate a new iterative solution method for a fini...
© 2015, Allerton Press, Inc. We construct and investigate a new iterative solution method for a fini...
. The variational inequality problem is reduced to an optimization problem with a differentiable obj...
A class of nonlinear elliptic quasi-variational inequality (QVI) problems with gra-dient constraints...
A class of nonlinear elliptic quasi-variational inequality (QVI) problems with gradientconstraints i...
In this paper, we establish global convergence results for projection and relaxation algorithms for ...
We consider variational inequality problems where the convex set under consideration is a bounded po...
A wide range of free boundary problems occurring in engineering and industry can be rewritten as a m...
We consider the fast solution of a class of large, piecewise smooth minimization problems. For lack ...
We consider here a generalization of exact penalty functions approach to solution of variational ine...
Abstract Newton’s method for solving variational inequalities is known to be locally quadratically c...
Real-life problems are governed by equations which are nonlinear in nature. Nonlinear equations occu...
Abstract. For the efficient numerical solution of elliptic variational inequalities on closed convex...
In this paper we derive efficiency estimates of the regularized Newton's method as applied to constr...
© 2015, Allerton Press, Inc. We construct and investigate a new iterative solution method for a fini...
© 2015, Allerton Press, Inc. We construct and investigate a new iterative solution method for a fini...
© 2015, Allerton Press, Inc. We construct and investigate a new iterative solution method for a fini...
. The variational inequality problem is reduced to an optimization problem with a differentiable obj...
A class of nonlinear elliptic quasi-variational inequality (QVI) problems with gra-dient constraints...
A class of nonlinear elliptic quasi-variational inequality (QVI) problems with gradientconstraints i...
In this paper, we establish global convergence results for projection and relaxation algorithms for ...
We consider variational inequality problems where the convex set under consideration is a bounded po...