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SIAMJO
2002

A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds

14 years 3 days ago
A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds
We give a pattern search method for nonlinearly constrained optimization that is an adaption of a bound constrained augmented Lagrangian method first proposed by Conn, Gould, and Toint [SIAM J. Numer. Anal., 28 (1991), pp. 545
Robert Michael Lewis, Virginia Torczon
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where SIAMJO
Authors Robert Michael Lewis, Virginia Torczon
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