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A nonmonotone adaptive trust region method for unconstrained optimization based on conic model
Authors:Jian Zhang  Kecun Zhang  Shaojian Qu
Affiliation:Faculty of Science, Xi’an Jiaotong University, P.O. Box 2325, Xi’an 710049, PR China
Abstract:In this paper, we present a nonmonotone adaptive trust region method for unconstrained optimization based on conic model. The new method combines nonmonotone technique and a new way to determine trust region radius at each iteration. The local and global convergence properties are proved under reasonable assumptions. Numerical experiments show that our algorithm is effective.
Keywords:Unconstrained optimization   Trust region method   Conic model   Nonmonotone technique   Adaptive
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