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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 introduces the data structures necessary to define a discrete random variable in APPL and surveys some simple algorithms associated with discrete random variables. The first section will show that the nature of the support of discrete random variables makes the data structures required much more complicated than for continuous random variables.

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 7, pages 89-109, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-43323-3_7
    DOI: 10.1007/978-3-319-43323-3_7
    as

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