ε-Approximation minimization of convex functions in fixed dimension

  • Authors:
  • S. N. Kabadi;Y. P. Aneia

  • Affiliations:
  • Faculty of Administration, University of New Brunswick, Fredericton, N.B. E3B 5A3, Canada;Faculty of Business, University of Windsor, Windsor, Ontario N9B 3P4, Canada

  • Venue:
  • Operations Research Letters
  • Year:
  • 1996

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Abstract

We consider the problem of minimizing a convex function v(@l), over a closed convex set @L @? R^m, where for some fixed c @e @e R^n an n x m matrix A of reals, and a set X @? R^n, we define v(@l) = max . We show the following result: if for any given @l @e @L, and any fixed @e, 0 can also be determined by an @e-pproximation (strongly) polynomial combinatorial algorithm.