Numerical solution method for general interval quadratic programming

نویسندگان

  • Wei Li
  • Xiaoli Tian
چکیده

Recently, Liu and Wang described an interesting numerical method to a special class of interval quadratic programming, where the linear term in objective function and constraints involving interval coefficients (Appl. Math. Comput. (2007), doi:10.1016/j.amc.2006.12.007). In this paper, we generalize Liu and Wang’s method to general interval quadratic programming, where all coefficients in the objective function and constraints are interval numbers. Although the interval quadratic programming model considered in this paper is more general, the proposed method requires less computing compared with Liu and Wang’s method. Numerical examples are presented to illustrate the whole idea.

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عنوان ژورنال:
  • Applied Mathematics and Computation

دوره 202  شماره 

صفحات  -

تاریخ انتشار 2008