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Journal of Global Optimization

, Volume 2, Issue 2, pp 133–144 | Cite as

On nonconvex optimization problems with separated nonconvex variables

  • Hoang Tuy
Article

Abstract

A mathematical programming problem is said to have separated nonconvex variables when the variables can be divided into two groups: x=(x1,...,x n ) and y=( y1,...,y n ), such that the objective function and any constraint function is a sum of a convex function of (x, y) jointly and a nonconvex function of x alone. A method is proposed for solving a class of such problems which includes Lipschitz optimization, reverse convex programming problems and also more general nonconvex optimization problems.

Key words

Global optimization separated nonconvex variables reverse convex programming Lipschitz optimization decomposition lower linearization outer approximation branch and bound relief indicator method 

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Copyright information

© Kluwer Academic Publishers 1992

Authors and Affiliations

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

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