A trust region algorithm for equality constrained optimization is proposed, which is a nonmonotone one in a certain sense. The augmented Lagrangian function is used as a merit function. Under certain conditions, the global convergence theorems of the algorithm are proved.
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NONMONOTONE IN A CERTAIN SENSE,TRUST REGION ALGORITHM,GLOBAL CONVERGENCE,EQUALITY CONSTRAINED OPTIMIZATION
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