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Data Structures and Simple Algorithms

In: Computational Probability

Author

Listed:
  • John H. Drew

    (The College of William and Mary)

  • Diane L. Evans

    (Rose-Hulman Institute of Technology)

  • Andrew G. Glen

    (Colorado College)

  • Lawrence M. Leemis

    (The College of William and Mary)

Abstract

This chapter and the three that follow it concern continuous random variables. We have chosen to present continuous random variables first because they are defined with a somewhat simpler data structure than that for discrete random variables. The development described here gives a probabilist the ability to automate the instantiation and processing of continuous random variables—key elements of computational probability.

Suggested Citation

  • John H. Drew & Diane L. Evans & Andrew G. Glen & Lawrence M. Leemis, 2017. "Data Structures and Simple Algorithms," International Series in Operations Research & Management Science, in: Computational Probability, edition 2, chapter 3, pages 33-45, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-43323-3_3
    DOI: 10.1007/978-3-319-43323-3_3
    as

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