Annals of Operations Research

, Volume 25, Issue 1, pp 1–17 | Cite as

On solving general reverse convex programming problems by a sequence of linear programs and line searches

  • Reiner Horst
  • Thai Q. Phong
  • Nguyen V. Thoai


Many multiextremal global optimization problems can be formulated as problems of minimizing a linear function over the intersection of a convex set with the complement of a convex set (so-called canonical d.c. programs or general reverse convex programming problems). In this paper it is shown that these general reverse convex programming problems can be solved by a sequence of linear programs and univariate convex minimization problems (line searches).


Linear Function Global Optimization Programming Problem Minimization Problem Line Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© J.C. Baltzer A.G. Scientific Publishing Company 1990

Authors and Affiliations

  • Reiner Horst
    • 1
  • Thai Q. Phong
    • 2
  • Nguyen V. Thoai
  1. 1.Universität TrierTrierF.R. Germany
  2. 2.Institute of MathematicsHanoiVietnam

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