Anqi Wang

University of Shanghai for Science and Technology, Shanghai, Shanghai Shi, China

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Publications (1)0 Total impact

  • Zhensheng Yu, Anqi Wang
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    ABSTRACT: In this paper, we consider a trust region algorithm for unconstrained optimization problems. Unlike the traditional memoryless trust region methods, our trust region model includes memory of the past iteration, which makes the algorithm less myopic in the sense that its behavior is not completely dominated by the local nature of the objective function, but rather by a more global view. The global convergence is established by using a nonmonotone technique. The numerical tests are also given to show the efficiency of our proposed method.
    Journal of Mathematical Modelling and Algorithms 01/2011; 10:109-118.

Institutions

  • 2011
    • University of Shanghai for Science and Technology
      Shanghai, Shanghai Shi, China