Journal of Global Optimization

, Volume 1, Issue 3, pp 229–244 | Cite as

Polyhedral annexaton, dualization and dimension reduction technique in global optimization

  • Hoang Tuy


We demonstrate how the size of certain global optimization problems can substantially be reduced by using dualization and polyhedral annexation techniques. The results are applied to develop efficient algorithms for solving concave minimization problems with a low degree of nonlinearity. This class includes in particular nonconvex optimization problems involving products or quotients of affine functions in the objective function.

Key words

Polyhedral annexation dualization dimension reduction technique linearly constrained quasiconcave minimization 


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Copyright information

© Kluwer Academic Publishers 1991

Authors and Affiliations

  • Hoang Tuy
    • 1
  1. 1.Institute of MathematicsHanoiVietnam

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