On when to stop sampling for the maximum
type: Item
instance of: scholarly article
title: On when to stop sampling for the maximum
zbMATH Open document ID: 0752.62056
DOI: 10.1007/BF00130829
published in: Journal of Global Optimization
publication date: 1993-01-16T00:00:00Z
Mathematics Subject Classification ID: 62L15
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 95440
zbMATH Keywords: sampling for maxima
zbMATH Keywords: Bayesian stopping rules
zbMATH Keywords: posterior distribution
zbMATH Keywords: prior distribution
zbMATH Keywords: Bayes theorem
zbMATH Keywords: Bayesian one-step look ahead stopping rule
zbMATH Keywords: discrete probability distribution
zbMATH Keywords: approximate solution
zbMATH Keywords: multistart method
zbMATH Keywords: continuous global optimization
author: C. Guus E. Boender
author: Alexander H. G. Rinnooy Kan
MaRDI profile type: Publication
cites work: Bayesian stopping rules for multistart global optimization methods
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cites work: Stopping eules for the multistart method when different local minima have different function values
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cites work: Stochastic global optimization methods part II: Multi level methods
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cites work: A statistical estimate of the structure of multi-extremal problems
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description: scientific article; zbMATH DE number 95440