On the implementation of an algorithm for large-scale equality constrained optimization

On the implementation of an algorithm for large-scale equality constrained optimization (1998)

by Marucha Lalee , Jorge Nocedal , Todd Plantenga

Venue:	SIAM Journal on Optimization
Citations:	37 - 10 self

Datum	Value	Source
TITLE	On the implementation of an algorithm for large-scale equality constrained optimization	INFERENCE
AUTHOR NAME	Marucha Lalee	SVM HeaderParse 0.2
AUTHOR NAME	Jorge Nocedal	SVM HeaderParse 0.2
AUTHOR NAME	Todd Plantenga	SVM HeaderParse 0.2
ABSTRACT	Abstract. This paper describes a software implementation of Byrd and Omojokun’s trust region algorithm for solving nonlinear equality constrained optimization problems. The code is designed for the efficient solution of large problems and provides the user with a variety of linear algebra techniques for solving the subproblems occurring in the algorithm. Second derivative information can be used, but when it is not available, limited memory quasi-Newton approximations are made. The performance of the code is studied using a set of difficult test problems from the CUTE collection.	SVM HeaderParse 0.2
YEAR	1998	INFERENCE
VENUE	SIAM Journal on Optimization	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	682--706	INFERENCE
VOLUME	8	INFERENCE
CITATIONS	46 found	ParsCit 1.0