The Bruss-Robertson Inequality: Elaborations, Extensions, and Applications

Abstract

The Bruss-Robertson inequality gives a bound on the maximal number of elements of a random sample whose sum is less than a specified value, and the extension of that inequality which is given here neither requires the independence of the summands nor requires the equality of their marginal distributions. A review is also given to the applications of the Bruss-Robertson inequality, especially the applications to problems of combinatorial optimization such as the sequential knapsack problem and the sequential monotone subsequence selection problem.

Authors and Affiliations

J. Michael Steele

Keywords

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  • EP ID EP180433
  • DOI 10.14708/ma.v44i1.817
  • Views 65
  • Downloads 0

How To Cite

J. Michael Steele (2016). The Bruss-Robertson Inequality: Elaborations, Extensions, and Applications. Mathematica Applicanda. Annales Societatis Mathematicae Polonae Series III ., 44(1), 3-16. https://europub.co.uk/articles/-A-180433