Skip to main content

and
  1. No Access

    Article

    A new global optimization method for univariate constrained twice-differentiable NLP problems

    In this paper, a new global optimization method is proposed for an optimization problem with twice-differentiable objective and constraint functions of a single variable. The method employs a difference of con...

    Min Ho Chang, Young Cheol Park, Tai-Yong Lee in Journal of Global Optimization (2007)