: In this paper we introduce a general line search scheme which easily allows us to define and analyze known and new semismooth algorithms for the solution of nonlinear complementarity problems. We enucleate the basic assumptions that a search direction to be used in the general scheme has to enjoy in order to guarantee global convergence, local superlinear/quadratic convergence or finite convergence. We examine in detail several different semismooth algorithms and compare their theoretical features and their practical behavior on a set of large-scale problems. Key Words: Nonlinear complementarity problem, semismoothness, Newton's method, projected gradient method, large-scale problem. AMS Subject Classification: 90C33, 90C06, 65K05. ...
In this paper we present some semismooth Newton methods for solving the semi-infinite programming pr...
AbstractIn this paper, we investigate a class of nonlinear complementarity problems arising from the...
Interior-point algorithms are among the most efficient techniques for solving complementarity proble...
International audienceIn this paper we introduce a general line search scheme which easily allows us...
Complementarity solvers are continually being challenged by modelers demanding improved reliability ...
In this paper, we propose a Newton-type method for solving a semismooth reformulation of monotone co...
A new algorithm for the solution of large-scale nonlinear complementarity problems is introduced. Th...
Semismooth Newton methods constitute a major research area for solving mixed complementarity problem...
Recent improvements in the capabilities of complementarity solvers have led to an increased interest...
A family of Least-Change Secant-Update methods for solving nonlinear complementarity problems based ...
As a complement of our recent article [O. Stein and A. Tezel, J. Global Optim., 41 (2008), pp. 245-2...
Abstract: We introduce a new, one-parametric class of NCP-functions. This class subsumes the Fischer...
It is known that a nonlinear complementarity problem (NCP) can be reformulated as a semismooth syste...
We investigates the theoretical and numerical properties of two global optimization techniques for t...
International audienceWe consider nonlinear algebraic systems with complementarity constraints stemm...
In this paper we present some semismooth Newton methods for solving the semi-infinite programming pr...
AbstractIn this paper, we investigate a class of nonlinear complementarity problems arising from the...
Interior-point algorithms are among the most efficient techniques for solving complementarity proble...
International audienceIn this paper we introduce a general line search scheme which easily allows us...
Complementarity solvers are continually being challenged by modelers demanding improved reliability ...
In this paper, we propose a Newton-type method for solving a semismooth reformulation of monotone co...
A new algorithm for the solution of large-scale nonlinear complementarity problems is introduced. Th...
Semismooth Newton methods constitute a major research area for solving mixed complementarity problem...
Recent improvements in the capabilities of complementarity solvers have led to an increased interest...
A family of Least-Change Secant-Update methods for solving nonlinear complementarity problems based ...
As a complement of our recent article [O. Stein and A. Tezel, J. Global Optim., 41 (2008), pp. 245-2...
Abstract: We introduce a new, one-parametric class of NCP-functions. This class subsumes the Fischer...
It is known that a nonlinear complementarity problem (NCP) can be reformulated as a semismooth syste...
We investigates the theoretical and numerical properties of two global optimization techniques for t...
International audienceWe consider nonlinear algebraic systems with complementarity constraints stemm...
In this paper we present some semismooth Newton methods for solving the semi-infinite programming pr...
AbstractIn this paper, we investigate a class of nonlinear complementarity problems arising from the...
Interior-point algorithms are among the most efficient techniques for solving complementarity proble...