Projected filter trust region methods for a semismooth least squares formulation of mixed complementarity problems

ISSN： 1055-6788

Source： Optimization Methods and Software, Vol.22, Iss.5, 2007-10, pp. : 713-735

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

On a semismooth least squares formulation of complementarity problems with gap reduction

By Kanzow Christian Petra Stefania

Optimization Methods and Software, Vol. 19, Iss. 5, 2004-10 ,pp. : 507-525

Taylor & Francis Ltd

Access to resources Recommend Favorite

Trust-region and other regularisations of linear least-squares problems

By Cartis C. Gould N. Toint P.

Bit Numerical Mathematics, Vol. 49, Iss. 1, 2009-03 ,pp. : 21-53

Springer Publishing Company

Access to resources Recommend Favorite

A robust combined trust region–line search exact penalty projected structured scheme for constrained nonlinear least squares

By Ansari Mohammad Reza Mahdavi-Amiri Nezam

Optimization Methods and Software, Vol. 30, Iss. 1, 2015-01 ,pp. : 162-190

Taylor & Francis Ltd

Access to resources Recommend Favorite

A damped semismooth Newton method for mixed linear complementarity problems

By Sun Zhe Zeng Jinping

Optimization Methods and Software, Vol. 26, Iss. 2, 2011-04 ,pp. : 187-205

Taylor & Francis Ltd

Access to resources Recommend Favorite

Inexact semismooth Newton methods for large-scale complementarity problems

By Kanzow Christian

Optimization Methods and Software, Vol. 19, Iss. 3-4, 2004-06 ,pp. : 309-325

Taylor & Francis Ltd

Access to resources Recommend Favorite