The Most Probable Distribution in the Continuous Limit

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The cluster ensemble is inherently discrete but when the characteristic cluster size is much larger than the unit of the ensemble, the MPD may be treated as a continuous variable. We define the continuous limit by the condition continuous limit:M≫N≫1.

Original languageEnglish (US)
Title of host publicationUnderstanding Complex Systems
PublisherSpringer Verlag
Pages99-123
Number of pages25
DOIs
StatePublished - Jan 1 2018

Publication series

NameUnderstanding Complex Systems
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

All Science Journal Classification (ASJC) codes

  • Software
  • Computational Mechanics
  • Artificial Intelligence

Cite this

Matsoukas, T. (2018). The Most Probable Distribution in the Continuous Limit. In Understanding Complex Systems (pp. 99-123). (Understanding Complex Systems). Springer Verlag. https://doi.org/10.1007/978-3-030-04149-6_4
Matsoukas, Themis. / The Most Probable Distribution in the Continuous Limit. Understanding Complex Systems. Springer Verlag, 2018. pp. 99-123 (Understanding Complex Systems).
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Matsoukas, T 2018, The Most Probable Distribution in the Continuous Limit. in Understanding Complex Systems. Understanding Complex Systems, Springer Verlag, pp. 99-123. https://doi.org/10.1007/978-3-030-04149-6_4

The Most Probable Distribution in the Continuous Limit. / Matsoukas, Themis.

Understanding Complex Systems. Springer Verlag, 2018. p. 99-123 (Understanding Complex Systems).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Matsoukas T. The Most Probable Distribution in the Continuous Limit. In Understanding Complex Systems. Springer Verlag. 2018. p. 99-123. (Understanding Complex Systems). https://doi.org/10.1007/978-3-030-04149-6_4