Journal of Optimization Theory and Applications

, Volume 107, Issue 2, pp 223–243 | Cite as

On Complexity of the Translational-Cut Algorithm for Convex Minimax Problems

  • K. A. Ariyawansa
  • P. L. Jiang


Burke, Goldstein, Tseng, and Ye (Ref. 1) have presented an interesting interior-point algorithm for a class of smooth convex minimax problems. They have also presented a complexity analysis leading to a worst-case bound on the total work necessary to obtain a solution within a prescribed tolerance. In this paper, we present refinements to the analysis of Burke et al. which show that the resulting complexity bound can be worse than those for other algorithms available at the time Ref. 1 was published.

complexity minimax optimization global Newton method interior-point methods analytic centers 


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Copyright information

© Plenum Publishing Corporation 2000

Authors and Affiliations

  • K. A. Ariyawansa
    • 1
  • P. L. Jiang
    • 2
  1. 1.Department of Pure and Applied MathematicsWashington State UniversityPullman
  2. 2.Professional ServicesDelta Dental Plan of MinnesotaEagan

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