ISSN:
1436-4646
Keywords:
65K05
;
90C30
;
Large-scale problems
;
Nonlinear optimization
;
Numerical algorithms
;
Slack variables
;
Augmented Lagrangian
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mathematics
Notes:
Abstract We show how to exploit the structure inherent in the linear algebra for constrained nonlinear optimization problems when inequality constraints have been converted to equations by adding slack variables and the problem is solved using an augmented Lagrangian method.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01582214
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