Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters

Saved in:

Bibliographic Details
Published in:	Mathematical programming Vol. 84; no. 1; pp. 161 - 200
Main Authors:	Gomes, Francisco A. M., Maciel, María Cristina, Martínez, José Mario
Format:	Journal Article
Language:	English
Published:	Heidelberg Springer 01.01.1999
Subjects:	Applied sciences Exact sciences and technology Mathematical programming Operational research and scientific management Operational research. Management science Non linear programming Lagrangian Quadratic programming Mathematical programming
ISSN:	0025-5610, 1436-4646
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
ISSN:	0025-5610 1436-4646
DOI:	10.1007/s10107980014a