Efficient Computation and Long Range Optimization Applications Using a Two-Characteristic Markov-Type Manpower Flow Model.

Abstract

In the past the author has compared and contrasted Markov and longitudinal manpower flow models. The Markov model requires relatively little data and has been widely analyzed. The longitudinal model incorporates more realistic personnel flows, but requires extensive data which is not always available. Hayne and Marshall have analyzed 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-characteritsic 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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1977
Accession Number
ADA041168

Entities

People

  • Kneale T. Marshall

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • California
  • Classification
  • Computations
  • Linear Programming
  • Management Personnel
  • Manpower
  • Marine Corps
  • Markov Models
  • Mathematical Models
  • Models
  • Operations Research
  • Optimization
  • Schools
  • Security
  • Sparse Matrix

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Naval Personnel Management
  • Neural Network Machine Learning.