Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Create a new EntitySchema
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

A Scaled Gauss--Newton Primal-Dual Search Direction for Semidefinite Optimization

From MaRDI portal
Publication:2706359
Jump to:navigation, search

DOI10.1137/S1052623499352632zbMath1001.65060OpenAlexW2014632088MaRDI QIDQ2706359

Etienne de Klerk, Tamás Terlaky, Cornelis Roos, Jiming Peng

Publication date: 19 March 2001

Published in: SIAM Journal on Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/s1052623499352632

zbMATH Keywords

scalingleast squaressemidefinite optimizationinterior point algorithmsworst-case iteration complexityprimal-dual search directionsGausss-Newton direction


Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Semidefinite programming (90C22)


Related Items

How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results, A relaxed interior point method for low-rank semidefinite programming problems with applications to matrix completion, A robust algorithm for semidefinite programming, Solving semidefinite programs using preconditioned conjugate gradients


Uses Software

  • SDPT3


Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:2706359&oldid=15553619"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 3 February 2024, at 12:03.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki