One-dimensional P-algorithm with convergence rate O(n-3+δ) for smooth functions

J. Calvin, A. Žilinskas

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Algorithms based on statistical models compete favorably with other global optimization algorithms as shown by extensive testing results. A theoretical inadequacy of previously used statistical models for smooth objective functions was eliminated by the authors who, in a recent paper, have constructed a P-algorithm for a statistical model for smooth functions. In the present paper, a modification of that P-algorithm with an improved convergence rate is described.

Original languageEnglish (US)
Pages (from-to)297-307
Number of pages11
JournalJournal of Optimization Theory and Applications
Issue number2
StatePublished - Aug 2000

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Applied Mathematics
  • Management Science and Operations Research


  • Convergence
  • Optimization
  • Statistical models


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