Multidimensional Parallel Algorithms

  • Roman G. Strongin
  • Yaroslav D. Sergeyev
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 45)


Let us consider again the multidimensional problem
, where φ(y) is a Lipschitz function with a constant L, 0 < L < ∞. In this Chapter a few approaches introduced in the previous Chapters are unified for solving the problem (9.0.1), (9.0.2):


Global Minimizer Limit Point Parallel Algorithm Lipschitz Condition Parallel Method 
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

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Roman G. Strongin
    • 1
  • Yaroslav D. Sergeyev
    • 1
    • 2
  1. 1.Nizhni Novgorod State UniversityNizhni NovgorodRussia
  2. 2.Institute of Systems Analysis and Information TechnologyUniversity of CalabriaRendeItaly

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