Rankings
Publications
Search Publications
Cited-by Search
Sources
Publishers
Scholars
Scholars
Top Cited Scholars
Organizations
About
Scilit
About Us
Advisory Board
Data Sources
Career
Support / Contact
User Guide
Publisher User
Search Function
Rankings Function
API Resource
Scilit Knowledge
Metrics
Scilit Recognitions
Publications Classification
Media
News
Blog
Login
Register
Home
Publications
Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function
Home
Publications
Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function
Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function
Authors:
MU
M. Ulbrich
M. Ulbrich
SU
S. Ulbrich
S. Ulbrich
Article Alert
Citation Alert
Add to Library
Cite
Download
Share
Download
Download PDF
Download
Publisher website
Google Scholar
1 January 2003
journal article
Published by
Springer Nature
in
Mathematical Programming
Vol. 95
(1)
,
103-135
DOI:
10.1007/s10107-002-0343-9
Abstract
No abstract available
Keywords
FUNCTION
OPTIMIZATION
CONVERGENCE
NONLINEAR
PENALTY
BEHAVIOR
STEP
CONSTRAINT
LAGRANGIAN
TRUST
Cited
Cited by 65 articles
Scroll to top