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1 edition of Efficient computation and long range optimization applications using a two-characteristic Markov-type manpower flow model found in the catalog.

Efficient computation and long range optimization applications using a two-characteristic Markov-type manpower flow model

Kneale T. Marshall

Efficient computation and long range optimization applications using a two-characteristic Markov-type manpower flow model

by Kneale T. Marshall

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  • 7 Currently reading

Published by Naval Postgraduate School in Monterey, Calif .
Written in English

    Subjects:
  • Mathematical models,
  • Manpower planning,
  • Personnel management,
  • Markov processes

  • About the Edition

    In [1] the author has compared and contrasted Markov and longitudinal manpower flow models. The Markov model requires relatively little data and has been widely analyzed (see [2] and [3]). The longitudinal model incorporates more realistic personnel flows, but requires extensive data which is not always available. In [4] Hayne and Marshall analyze a two-characteristic Markov model which can be viewed as a hybrid of the Markov and longitudinal models. The purpose of this paper is to show how efficient computational methods can be used with the two-characteristic model by exploiting the special structure of its underlying matrix. These methods make possible the efficient use of this basic flow model in optimization models similar to those described in Chapter 5 of [3]. (Author)

    Edition Notes

    Statementby Kneale T. Marshall
    ContributionsNaval Postgraduate School (U.S.)
    The Physical Object
    Pagination18 p. ;
    Number of Pages18
    ID Numbers
    Open LibraryOL25473244M
    OCLC/WorldCa424621495


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Efficient computation and long range optimization applications using a two-characteristic Markov-type manpower flow model by Kneale T. Marshall Download PDF EPUB FB2