Modified Limited Memory Bfgs Method with Nonmonotone Line Search for Unconstrained Optimization

نویسندگان

  • Gonglin Yuan
  • Zengxin Wei
  • Yanlin Wu
  • YANLIN WU
چکیده

In this paper, we propose two limited memory BFGS algorithms with a nonmonotone line search technique for unconstrained optimization problems. The global convergence of the given methods will be established under suitable conditions. Numerical results show that the presented algorithms are more competitive than the normal BFGS method.

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تاریخ انتشار 2010