On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds

نویسندگان

  • Andrew R. Conn
  • Nicholas I. M. Gould
  • Philippe L. Toint
چکیده

This paper considers the number of inner iterations required per outer iteration for the algorithm proposed by Conn et al. (1992a). We show that asymptotically, under suitable reasonable assumptions, a single inner iteration suces. On the number of inner iterations per outer iteration of a globally convergent algorithm for optimization with general nonlinear inequality constraints and simple bounds Abstract This paper considers the number of inner iterations required per outer iteration for the algorithm proposed by Conn et al. (1992a). We show that asymptotically, under suitable reasonable assumptions, a single inner iteration suces.

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عنوان ژورنال:
  • Comp. Opt. and Appl.

دوره 7  شماره 

صفحات  -

تاریخ انتشار 1997