Globally and Quadratically Convergent Algorithm for Minimizing the Sum of Euclidean Norms

Author： Zhou G.   Toh K.C.   Sun D.  

Publisher： Springer Publishing Company

ISSN： 0022-3239

Source： Journal of Optimization Theory and Applications, Vol.119, Iss.2, 2003-11, pp. : 357-377

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

Globally Convergent Interior-Point Algorithm for Nonlinear Programming

By Akrotirianakis I.   Rustem B.  

Journal of Optimization Theory and Applications, Vol. 125, Iss. 3, 2005-06 ,pp. : 497-521

Springer Publishing Company

Access to resources Recommend Favorite

A globally convergent trust region multidimensional filter SQP algorithm for nonlinear programming

By Shen Chungen  

International Journal of Computer Mathematics, Vol. 86, Iss. 12, 2009-12 ,pp. : 2201-2217

Taylor & Francis Ltd

Access to resources Recommend Favorite

Globally and Superlinearly Convergent QP-Free Algorithm for Nonlinear Constrained Optimization

By Qi L.   Yang Y.F.  

Journal of Optimization Theory and Applications, Vol. 113, Iss. 2, 2002-05 ,pp. : 297-323

Springer Publishing Company

Access to resources Recommend Favorite

An Improved Extra-Gradient Method for Minimizing a Sum of p-norms—A Variational Inequality Approach

By Yuan Xiao-Ming   Zhou Li  

Computational Optimization and Applications, Vol. 34, Iss. 3, 2006-07 ,pp. : 321-341

Springer Publishing Company

Access to resources Recommend Favorite

Convergent Interpolation Coefficients with Convergent Sum

By  

STUDIES IN APPLIED MATHEMATICS, Vol. 97-1421, Iss. 1, 1927-04 ,pp. : 240-249

John Wiley & Sons Inc

Access to resources Recommend Favorite