Nonmonotone second-order Wolfe's line search method for unconstrained optimization problems

  • Authors:
  • Xue Han;Wenyu Sun;Chuangyin Dang

  • Affiliations:
  • School of Mathematical Sciences, Nanjing Normal University, Nanjing 210046, China;School of Mathematical Sciences, Nanjing Normal University, Nanjing 210046, China;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2010

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Abstract

In this paper, we present a new algorithm using the nonmonotone second-order Wolfe's line search. By using the negative curvature information from the Hessian, we prove that the generated sequence converges to the stationary points that satisfy the second-order optimality conditions. We also report numerical results which show the efficiency and robustness of the proposed method.